Triple
T4268560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de los Caídos |
E96883
|
entity |
| Predicate | crossHeight |
P9788
|
FINISHED |
| Object | approximately 150 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: approximately 150 meters | Statement: [Valle de los Caídos, crossHeight, approximately 150 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossHeight Context triple: [Valle de los Caídos, crossHeight, approximately 150 meters]
-
A.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
B.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
C.
crossWith
Indicates that one entity intersects or passes over/through the path, boundary, or position of another entity.
-
D.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
E.
verticalExtent
Indicates the total height or vertical span of an entity or region from its lowest to highest point.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.