Triple
T27332074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kīlauea Iki Crater |
E689829
|
entity |
| Predicate | maxFountainHeight1959 |
P162544
|
FINISHED |
| Object | approximately 1,900 feet |
—
|
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 1,900 feet | Statement: [Kīlauea Iki Crater, maxFountainHeight1959, approximately 1,900 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxFountainHeight1959 Context triple: [Kīlauea Iki Crater, maxFountainHeight1959, approximately 1,900 feet]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
C.
maximumMoundHeight
Indicates the greatest allowable or observed height of a mound relative to a specified reference or context.
-
D.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
E.
numberOfFountains
Indicates the quantitative relationship specifying how many fountains are associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f625402d808190be8279d895d2b27f |
completed | May 2, 2026, 4:24 p.m. |
Created at: April 27, 2026, 11:38 a.m.