Triple
T23744030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Qaim–Abu Kamal border crossing |
E586762
|
entity |
| Predicate | nearCityInIraq |
P88901
|
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: [Al-Qaim–Abu Kamal border crossing, nearCityInIraq, Al-Qa'im]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearCityInIraq Context triple: [Al-Qaim–Abu Kamal border crossing, nearCityInIraq, Al-Qa'im]
-
A.
distanceFromBaghdad
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
B.
hasNearbyArabLocality
chosen
Indicates that one entity has an Arab locality situated in close geographic proximity to it.
-
C.
borderDirectionInIraq
Indicates the directional orientation of a border segment located within Iraq.
-
D.
nearCityInPakistan
Indicates that one entity is located close to, or in the vicinity of, a specified city within Pakistan.
-
E.
nearbyGovernorate
Indicates that one governorate is geographically close to or adjacent to another governorate.
- 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.