Triple
T17269894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qurna |
E419224
|
entity |
| Predicate | roadDistanceToBasra |
P126565
|
FINISHED |
| Object | tens of 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: tens of kilometers | Statement: [Qurna, roadDistanceToBasra, tens of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToBasra Context triple: [Qurna, roadDistanceToBasra, tens of kilometers]
-
A.
distanceFromBaghdad
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
B.
distanceToNasiriyah
Indicates the spatial distance between a given entity and the location of Nasiriyah.
-
C.
distanceToTikrit
Indicates the spatial distance between a given location or entity and the city of Tikrit.
-
D.
distanceToMuscat
Indicates the measured or calculated distance between a given entity’s location and the city of Muscat.
-
E.
distanceFromRiyadh
Indicates the measured spatial distance between a given entity’s location and the city of Riyadh.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.