Triple
T5661895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Le Conte |
E124760
|
entity |
| Predicate | LeConteLodgeEstablished |
P50337
|
FINISHED |
| Object | 1926 |
—
|
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: 1926 | Statement: [Mount Le Conte, LeConteLodgeEstablished, 1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LeConteLodgeEstablished Context triple: [Mount Le Conte, LeConteLodgeEstablished, 1926]
-
A.
stateParkEstablishedFor
Indicates that a state park was created or designated for the benefit, use, or purpose of a particular entity or objective.
-
B.
hasNotableLodge
chosen
Indicates that an entity possesses or is associated with a lodge that is considered notable or significant.
-
C.
lodgesAt
Indicates that one entity temporarily stays or resides at a particular place or accommodation.
-
D.
foundedAsResort
Indicates that a place or establishment was originally created or established specifically to function as a resort.
-
E.
developedAsResortDuring
Indicates that a place was developed or transformed into a resort during a specified time period.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:42 p.m.