Triple
T26789014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto de los Ídolos |
E670463
|
entity |
| Predicate | maximumStatueHeight |
P1724
|
FINISHED |
| Object | approximately 5 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 5 meters | Statement: [Alto de los Ídolos, maximumStatueHeight, approximately 5 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumStatueHeight Context triple: [Alto de los Ídolos, maximumStatueHeight, approximately 5 meters]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
hasLargestStatueHeight
Indicates that one entity possesses the greatest statue height compared to other relevant entities in the given context.
-
C.
centralMonumentHeight
Indicates the height measurement of a central monument in a given context or location.
-
D.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
-
E.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 4:15 a.m.