Triple
T20991810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pillar |
E517043
|
entity |
| Predicate | PillarRockLocatedIn |
P142390
|
FINISHED |
| Object | north face of Pillar |
—
|
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: north face of Pillar | Statement: [Pillar, PillarRockLocatedIn, north face of Pillar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PillarRockLocatedIn Context triple: [Pillar, PillarRockLocatedIn, north face of Pillar]
-
A.
petrifiedLocation
Indicates that an entity has been turned to stone or fossilized at a specific location.
-
B.
centralRockName
Indicates that an entity has a specific name assigned to its central rock or primary rock feature.
-
C.
reservoirLocation
Indicates that a reservoir is geographically located at or within a specified place or region.
-
D.
stateParkLocation
Indicates that a state park is located within or associated with a specific geographic place or administrative region.
-
E.
countryParkLocatedOn
Indicates that a country park is situated on or within the area of a specified geographic feature or land unit.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.