Triple
T37536955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolhuaca |
E933223
|
entity |
| Predicate | hasEruptiveProducts |
P13097
|
FINISHED |
| Object | lava flows |
—
|
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 flows | Statement: [Tolhuaca, hasEruptiveProducts, lava flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEruptiveProducts Context triple: [Tolhuaca, hasEruptiveProducts, lava flows]
-
A.
hasVolcanicProduct
Indicates that an entity possesses, contains, or is associated with material or products originating from volcanic activity.
-
B.
eruptionProducts
chosen
Indicates the materials or substances that are produced or expelled as a result of an eruption.
-
C.
hasEruptionEpisodes
Indicates that an entity (such as a volcano or geyser) undergoes one or more distinct eruption events over time.
-
D.
hasEruptionVolume
Indicates the relationship between a volcanic eruption event and the measured volume of material it releases.
-
E.
hasFumaroles
Indicates the presence of fumaroles (openings emitting volcanic gases or steam) associated with an entity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.