Triple
T4762169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerar |
E105720
|
entity |
| Predicate | traditionallyIdentifiedNear |
P59161
|
FINISHED |
| Object | modern southern Israel |
—
|
LITERAL FINISHED |
How this triple was built (2 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: modern southern Israel | Statement: [Gerar, traditionallyIdentifiedNear, modern southern Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyIdentifiedNear Context triple: [Gerar, traditionallyIdentifiedNear, modern southern Israel]
-
A.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
B.
meetsNear
Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
-
C.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
D.
depictedNear
Indicates that two entities are shown in close spatial proximity to each other within the same depiction or scene.
-
E.
locationSignedNear
Indicates that an entity’s location is in close physical proximity to another specified place or reference point.
- F. None of above. chosen
Provenance (4 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd686dc7b88190b41e8a362701080d |
completed | March 20, 2026, 3:31 p.m. |
Created at: March 20, 2026, 1:20 p.m.