Triple
T4762151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerar |
E105720
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Negev |
E52188
|
NE 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: Negev | Statement: [Gerar, locatedIn, Negev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Negev Context triple: [Gerar, locatedIn, Negev]
-
A.
Negev desert
chosen
The Negev desert is a vast arid region in southern Israel known for its stark landscapes, sparse population, and significant historical and strategic importance.
-
B.
Judean Desert
The Judean Desert is a rugged, arid region in eastern Israel and the West Bank, known for its steep canyons, dramatic cliffs, and historical sites overlooking the Dead Sea.
-
C.
Tihama
Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
-
D.
Nitrian Desert
The Nitrian Desert is a desert region in northwestern Egypt historically known as a center of early Christian monasticism and ascetic communities.
-
E.
Chagai Desert
The Chagai Desert is an arid region in western Balochistan, Pakistan, known for its harsh landscape and sparse population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a81c9dc8190b9e7f399ac1de268 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.