Triple
T9246202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente de la Mujer |
E222200
|
entity |
| Predicate | hasCentralSpanRotation |
P56077
|
FINISHED |
| Object | 90 degrees |
—
|
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: 90 degrees | Statement: [Puente de la Mujer, hasCentralSpanRotation, 90 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralSpanRotation Context triple: [Puente de la Mujer, hasCentralSpanRotation, 90 degrees]
-
A.
hasCentralAxis
Indicates that one entity serves as the primary central axis or line of symmetry around which another entity is organized, aligned, or structured.
-
B.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
C.
hasCentralIntensity
Indicates that something possesses a specific value or measure of intensity at its central point or core region.
-
D.
isRotational
chosen
Indicates that one entity moves, transforms, or is oriented by rotating around a point, axis, or center relative to another.
-
E.
hasCentralSection
Indicates that an entity possesses a distinct middle or central part within its overall structure or composition.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03f181e081908d9ff7dc6f86420e |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.