Triple
T8526764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern District, Israel |
E201837
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ofakim
Ofakim is a small development town in southern Israel known for its working-class character and location in the Negev region.
|
E741852
|
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: Ofakim | Statement: [Southern District, Israel, containsCity, Ofakim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ofakim Context triple: [Southern District, Israel, containsCity, Ofakim]
-
A.
Fakui
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
-
B.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
-
C.
Ohoka
Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
-
D.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
E.
Ohtake
Ohtake is a Japanese surname borne by various notable individuals in fields such as art, sports, and entertainment.
- 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: Ofakim Triple: [Southern District, Israel, containsCity, Ofakim]
Generated description
Ofakim is a small development town in southern Israel known for its working-class character and location in the Negev region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ofakim Target entity description: Ofakim is a small development town in southern Israel known for its working-class character and location in the Negev region.
-
A.
Fakui
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
-
B.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
-
C.
Ohoka
Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
-
D.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
E.
Ohtake
Ohtake is a Japanese surname borne by various notable individuals in fields such as art, sports, and entertainment.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6477100819081fa20cb6b8ea3d7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d49c1408190b7c23739409d1e3d |
completed | April 2, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:16 p.m.