Triple
T35873904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilauea Iki 1959 eruption |
E1037305
|
entity |
| Predicate | maximumFountainHeight |
P183961
|
FINISHED |
| Object | about 580 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 580 meters | Statement: [Kilauea Iki 1959 eruption, maximumFountainHeight, about 580 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumFountainHeight Context triple: [Kilauea Iki 1959 eruption, maximumFountainHeight, about 580 meters]
-
A.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
B.
maxLavaFountainHeight
chosen
Indicates the maximum height reached by a lava fountain during an eruption or eruptive event.
-
C.
maximumMoundHeight
Indicates the greatest allowable or observed height of a mound relative to a specified reference or context.
-
D.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
E.
maxFountainHeight1959
Indicates the maximum height reached by a fountain in the year 1959.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:06 p.m.