Triple
T29293648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Musa Island |
E742754
|
entity |
| Predicate | closestGulfState |
P178804
|
FINISHED |
| Object | United Arab Emirates |
—
|
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: United Arab Emirates | Statement: [Abu Musa Island, closestGulfState, United Arab Emirates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestGulfState Context triple: [Abu Musa Island, closestGulfState, United Arab Emirates]
-
A.
nearestMainlandState
Indicates the relationship where a given location is associated with the closest U.S. mainland state in terms of geographic proximity.
-
B.
nearestStateOrTerritory
Indicates that one location is the closest state or territory to another location, typically in terms of geographic distance.
-
C.
coastalState
Indicates that a state has a coastline adjacent to a sea or ocean, giving it maritime access and jurisdiction over nearby coastal waters.
-
D.
nearestMajorState
Indicates the relationship where a given location is associated with the closest major state to it, typically by geographic distance.
-
E.
hasGulf
Indicates that one geographic entity contains or is bordered by a gulf associated with another entity.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 28, 2026, 1:04 p.m.