Triple
T23743882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Kamal |
E586759
|
entity |
| Predicate | oppositeSideSettlement |
P53596
|
FINISHED |
| Object | Al-Qa'im |
—
|
NE NERFINISHED |
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: Al-Qa'im | Statement: [Abu Kamal, oppositeSideSettlement, Al-Qa'im]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeSideSettlement Context triple: [Abu Kamal, oppositeSideSettlement, Al-Qa'im]
-
A.
otherSettlement
chosen
Indicates that one settlement is another, different settlement distinct from the primary or reference settlement.
-
B.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
-
C.
isSettlementOf
Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
-
D.
isSettlementAlong
Indicates that a settlement is located adjacent to or in close proximity along the course or edge of a specified linear feature, such as a river, road, or coastline.
-
E.
isSettlement
Indicates that the subject entity functions as a human-inhabited place or community, such as a town, village, or city.
- F. None of above.
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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbbcf988190b56d74af4b126bd8 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.