Triple
T23508766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hīt |
E572356
|
entity |
| Predicate | roadDistanceToBaghdad_km |
P25492
|
FINISHED |
| Object | approximately 150 |
—
|
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: approximately 150 | Statement: [Hīt, roadDistanceToBaghdad_km, approximately 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToBaghdad_km Context triple: [Hīt, roadDistanceToBaghdad_km, approximately 150]
-
A.
distanceFromBaghdad
chosen
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
B.
roadDistanceToBasra
Indicates the distance between entities measured specifically along the road network to the location Basra.
-
C.
distanceToTikrit
Indicates the spatial distance between a given location or entity and the city of Tikrit.
-
D.
distanceToNasiriyah
Indicates the spatial distance between a given entity and the location of Nasiriyah.
-
E.
distanceToAlKhums_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Al Khums.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a902c0788190840d7df1b5450b4d |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.