Triple
T36123080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Bridge |
E1044797
|
entity |
| Predicate | distanceToKirkuk |
P204749
|
FINISHED |
| Object | about 50 kilometers |
—
|
LITERAL 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: about 50 kilometers | Statement: [Golden Bridge, distanceToKirkuk, about 50 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKirkuk Context triple: [Golden Bridge, distanceToKirkuk, about 50 kilometers]
-
A.
distanceToTikrit
Indicates the spatial distance between a given location or entity and the city of Tikrit.
-
B.
distanceFromBaghdad
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
C.
distanceToNasiriyah
Indicates the spatial distance between a given entity and the location of Nasiriyah.
-
D.
distanceToAlKhums_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Al Khums.
-
E.
distanceToAleppo
Indicates the spatial distance between a given entity and the location of Aleppo.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.