Triple
T28758992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab al-Salameh Border Crossing |
E731753
|
entity |
| Predicate | oppositeSideFacility |
P169554
|
FINISHED |
| Object | Öncüpınar Border Gate |
—
|
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: Öncüpınar Border Gate | Statement: [Bab al-Salameh Border Crossing, oppositeSideFacility, Öncüpınar Border Gate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeSideFacility Context triple: [Bab al-Salameh Border Crossing, oppositeSideFacility, Öncüpınar Border Gate]
-
A.
oppositeFacility
chosen
Indicates that one facility is located directly across from or facing another facility.
-
B.
hasOppositeStationForOtherDirection
Indicates that a station has a corresponding station used for travel in the opposite direction on the same route or line.
-
C.
opposingLocation
Indicates that two entities are located directly opposite each other, typically across a defined reference such as a street, corridor, or boundary.
-
D.
situatedOnSideOf
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
E.
adjacentToInfrastructure
Indicates that one entity is located directly next to or in immediate proximity to a piece of infrastructure.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 28, 2026, 6:11 a.m.