Triple
T4350915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puʻu ʻŌʻō |
E98023
|
entity |
| Predicate | producedFeature |
P490
|
FINISHED |
| Object | lava fields in Puna |
—
|
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: lava fields in Puna | Statement: [Puʻu ʻŌʻō, producedFeature, lava fields in Puna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedFeature Context triple: [Puʻu ʻŌʻō, producedFeature, lava fields in Puna]
-
A.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
B.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
C.
producedOn
Indicates that something was created, manufactured, or brought into existence at a specific date or time.
-
D.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
E.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a99788819080b13a20124e49a0 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.