Triple
T12253396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakhl |
E292032
|
entity |
| Predicate | governorateCapitalOf |
P16248
|
FINISHED |
| Object |
Markaz Nakhl
Markaz Nakhl is an administrative center and town in Egypt’s Sinai Peninsula, serving as the capital of the surrounding Nakhl region.
|
E972583
|
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: Markaz Nakhl | Statement: [Nakhl, governorateCapitalOf, Markaz Nakhl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markaz Nakhl Context triple: [Nakhl, governorateCapitalOf, Markaz Nakhl]
-
A.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
-
B.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
C.
Mohamed Naguib Military Base
Mohamed Naguib Military Base is a major Egyptian armed forces installation named in honor of Egypt’s first president, Mohamed Naguib.
-
D.
Umm al-Hasan
Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
-
E.
Sakhra
Sakhra is a town located in Jordan’s Ajloun Governorate, known for its hilly terrain and rural setting in the country’s north.
- 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: Markaz Nakhl Triple: [Nakhl, governorateCapitalOf, Markaz Nakhl]
Generated description
Markaz Nakhl is an administrative center and town in Egypt’s Sinai Peninsula, serving as the capital of the surrounding Nakhl region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Markaz Nakhl Target entity description: Markaz Nakhl is an administrative center and town in Egypt’s Sinai Peninsula, serving as the capital of the surrounding Nakhl region.
-
A.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
-
B.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
C.
Mohamed Naguib Military Base
Mohamed Naguib Military Base is a major Egyptian armed forces installation named in honor of Egypt’s first president, Mohamed Naguib.
-
D.
Umm al-Hasan
Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
-
E.
Sakhra
Sakhra is a town located in Jordan’s Ajloun Governorate, known for its hilly terrain and rural setting in the country’s north.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abdc5988190a19104385f54fb06 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60d8456d881908b5647b77fc53780 |
completed | May 2, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60e2c52b0819094c8e67286235400 |
completed | May 2, 2026, 2:46 p.m. |
Created at: April 8, 2026, 9:52 p.m.