Triple
T5360044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi Eshkol |
E102996
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Orativ
Orativ is a small urban-type settlement in central Ukraine, historically part of the Podolia region.
|
E514537
|
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: Orativ | Statement: [Levi Eshkol, birthPlace, Orativ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orativ Context triple: [Levi Eshkol, birthPlace, Orativ]
-
A.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
B.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
C.
Gargan
Gargan is a surname most notably associated with Joseph Gargan, a lawyer and cousin of U.S. Senator Ted Kennedy who was involved in the events surrounding the Chappaquiddick incident.
-
D.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
E.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
- 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: Orativ Triple: [Levi Eshkol, birthPlace, Orativ]
Generated description
Orativ is a small urban-type settlement in central Ukraine, historically part of the Podolia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orativ Target entity description: Orativ is a small urban-type settlement in central Ukraine, historically part of the Podolia region.
-
A.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
B.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
C.
Gargan
Gargan is a surname most notably associated with Joseph Gargan, a lawyer and cousin of U.S. Senator Ted Kennedy who was involved in the events surrounding the Chappaquiddick incident.
-
D.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
E.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21ec83b88190abc227d93b4c1c49 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf25cac6d48190ab3155c667e19484 |
completed | March 21, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf264cb0c08190a92e53441ac937a3 |
completed | March 21, 2026, 11:14 p.m. |
Created at: March 20, 2026, 2:02 p.m.