Triple
T5854550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebron Governorate |
E130117
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
As-Samu
As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
|
E550026
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: As-Samu | Statement: [Hebron Governorate, containsTown, As-Samu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: As-Samu Context triple: [Hebron Governorate, containsTown, As-Samu]
-
A.
Al Mashun
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
-
B.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
C.
Al-Yasa
Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
-
D.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
E.
Adh-Dhariyat
Adh-Dhariyat is the 51st chapter (surah) of the Qur’an, known for its themes of divine power, resurrection, and the consequences of belief and disbelief.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: As-Samu Triple: [Hebron Governorate, containsTown, As-Samu]
Generated description
As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: As-Samu Target entity description: As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
-
A.
Al Mashun
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
-
B.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
C.
Al-Yasa
Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
-
D.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
E.
Adh-Dhariyat
Adh-Dhariyat is the 51st chapter (surah) of the Qur’an, known for its themes of divine power, resurrection, and the consequences of belief and disbelief.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03554651c8190b3009d41eecf6779 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1bc58d081908568294278cbf3a9 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a2ab17f481908f2d492e4d9d90fb |
completed | March 23, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:55 p.m.