Triple
T25362107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearwater Cave |
E635995
|
entity |
| Predicate | surveyedLength |
P158235
|
FINISHED |
| Object | over 200 kilometers |
—
|
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: over 200 kilometers | Statement: [Clearwater Cave, surveyedLength, over 200 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surveyedLength Context triple: [Clearwater Cave, surveyedLength, over 200 kilometers]
-
A.
surveyedIn
Indicates that an entity was included as part of the scope or coverage of a particular survey or data-collection effort.
-
B.
surveyed
Indicates that one entity systematically examined, questioned, or measured another entity or group to gather information or assess a situation.
-
C.
surveyDuration
Indicates the length of time over which a survey is conducted or remains active.
-
D.
surveyedFor
Indicates that one entity has been examined, questioned, or assessed in order to gather information specifically about another entity or topic.
-
E.
numberOfSurveyPoints
Indicates the total count of survey points associated with a given entity or context.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10b20608190837fc5471f7ed504 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:36 p.m.