Triple
T9246183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente de la Mujer |
E222200
|
entity |
| Predicate | pylonAngle |
P49681
|
FINISHED |
| Object | 39 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: 39 degrees | Statement: [Puente de la Mujer, pylonAngle, 39 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pylonAngle Context triple: [Puente de la Mujer, pylonAngle, 39 degrees]
-
A.
pyramidAngle
Indicates that there is a specified angular relationship between elements (such as faces, edges, or apex and base) of a pyramid-shaped structure.
-
B.
pylonType
Indicates the specific structural or functional category that a pylon belongs to within a given context.
-
C.
dropAngle
Indicates the angle at which something is dropped or released relative to a reference direction or surface.
-
D.
offAxisAngle
chosen
Indicates the angle by which something is rotated or deviates from a defined primary or reference axis.
-
E.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
- 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.