Triple
T9651775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro del Cubilete |
E233351
|
entity |
| Predicate | hasCristoReyMonumentHeight |
P1724
|
FINISHED |
| Object | about 20 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: about 20 meters | Statement: [Cerro del Cubilete, hasCristoReyMonumentHeight, about 20 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCristoReyMonumentHeight Context triple: [Cerro del Cubilete, hasCristoReyMonumentHeight, about 20 meters]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
centralMonolithHeight
Indicates the height measurement of a central monolith relative to a defined reference or context.
-
C.
elevationToCathedral
Indicates the formal act or process by which a church is raised in status to become a cathedral.
-
D.
basilicaHeightApprox
Indicates that an entity is approximately a certain height, specifically in the context of a basilica or basilica-like structure.
-
E.
hasAltarpieceHeight
Indicates the relationship specifying the height measurement of an altarpiece.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.