Triple
T30620297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubbah |
E779426
|
entity |
| Predicate | distanceToHa'ilApprox |
P203184
|
FINISHED |
| Object | about 90 km northwest of Ha'il |
—
|
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 90 km northwest of Ha'il | Statement: [Jubbah, distanceToHa'ilApprox, about 90 km northwest of Ha'il]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHa'ilApprox Context triple: [Jubbah, distanceToHa'ilApprox, about 90 km northwest of Ha'il]
-
A.
distanceFromHadibu
Indicates the spatial distance between a given entity and the location of Hadibu.
-
B.
distanceToPahiatua
Indicates the measured spatial distance between a given location and the place referred to as Pahiatua.
-
C.
distanceFromMhamid
Indicates the spatial distance between an entity and the reference location Mhamid.
-
D.
distanceToHoverla
Indicates the measured distance between a given entity’s location and Hoverla.
-
E.
distanceFromHo
Indicates the spatial distance measured from a specified reference point or origin labeled "Ho" to another entity.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0136e4af808190b529d324bbf0c5d9 |
completed | May 11, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_6a01369141c4819091cb8064913a44ca |
completed | May 11, 2026, 1:53 a.m. |
| PDg | Predicate description generation | batch_6a0136e3d6ec8190898b5ab5a628a99d |
completed | May 11, 2026, 1:54 a.m. |
Created at: April 29, 2026, 8:27 p.m.