Triple
T11918567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulupo Heiau State Historic Site |
E283592
|
entity |
| Predicate | hasHeiauHeight |
P9788
|
FINISHED |
| Object | up to about 30 feet high |
—
|
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: up to about 30 feet high | Statement: [Ulupo Heiau State Historic Site, hasHeiauHeight, up to about 30 feet high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeiauHeight Context triple: [Ulupo Heiau State Historic Site, hasHeiauHeight, up to about 30 feet high]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
heightInMetres
Indicates the height of an entity expressed as a measurement in metres.
-
C.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
-
D.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
E.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8dff77481908cacf6ad03df34ac |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.