Triple
T8837478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lamongan |
E210301
|
entity |
| Predicate | numberOfCinderCones |
P84935
|
FINISHED |
| Object | more than 20 |
—
|
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: more than 20 | Statement: [Mount Lamongan, numberOfCinderCones, more than 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCinderCones Context triple: [Mount Lamongan, numberOfCinderCones, more than 20]
-
A.
numberOfVolcanoes
Indicates the count of volcanoes associated with a given entity or within a specified context.
-
B.
numberOfGeysers
Indicates the quantity of geysers associated with or contained in a given entity.
-
C.
volcanoNumber
Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
-
D.
hasCraterCount
Indicates that an entity possesses a specified number of craters.
-
E.
craterDensity
Indicates the measured concentration of impact craters on a surface area, reflecting how densely craters are distributed.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:48 p.m.