Triple
T30846122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organ Cave |
E785637
|
entity |
| Predicate | rankInWestVirginiaByLength |
P180546
|
FINISHED |
| Object | one of the longest caves in West Virginia |
—
|
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: one of the longest caves in West Virginia | Statement: [Organ Cave, rankInWestVirginiaByLength, one of the longest caves in West Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInWestVirginiaByLength Context triple: [Organ Cave, rankInWestVirginiaByLength, one of the longest caves in West Virginia]
-
A.
rankInAlaskaByLength
Indicates the position of something in an ordered list of items in Alaska when sorted by their length.
-
B.
riverLength
Indicates the measured extent of a river from its source to its mouth, typically expressed as a linear distance.
-
C.
riverLengthContext
Indicates the contextual or situational information under which a river’s length is measured or considered.
-
D.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
-
E.
waterwayLengthKilometres
Indicates the total length of a waterway, measured in kilometres.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: April 29, 2026, 8:46 p.m.