Triple
T10433237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuquʼ |
E245969
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object |
Zaʼtara
Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
|
E863925
|
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: Zaʼtara | Statement: [Tuquʼ, nearbyLocality, Zaʼtara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaʼtara Context triple: [Tuquʼ, nearbyLocality, Zaʼtara]
-
A.
Zanaki
Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
-
B.
Sharazan
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
-
C.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
D.
Azazga
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
-
E.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
- 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: Zaʼtara Triple: [Tuquʼ, nearbyLocality, Zaʼtara]
Generated description
Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaʼtara Target entity description: Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
-
A.
Zanaki
Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
-
B.
Sharazan
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
-
C.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
D.
Azazga
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
-
E.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb8c70481909b9320af15f2b5e9 |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:13 p.m.