Triple
T118935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteora |
E2401
|
entity |
| Predicate | highestPillarApproximateHeight |
P7646
|
FINISHED |
| Object | over 400 meters |
—
|
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: over 400 meters | Statement: [Meteora, highestPillarApproximateHeight, over 400 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPillarApproximateHeight Context triple: [Meteora, highestPillarApproximateHeight, over 400 meters]
-
A.
rankByHeightWorld
Indicates an ordering of entities based on their relative height compared to all others in the world.
-
B.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
C.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
D.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25646d5088190a057989c32da3a90 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.