Triple
T15207409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timpohon–Low’s Peak route |
E363423
|
entity |
| Predicate | isWellEstablished |
P117124
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Timpohon–Low’s Peak route, isWellEstablished, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWellEstablished Context triple: [Timpohon–Low’s Peak route, isWellEstablished, true]
-
A.
establishedAs
Indicates that one entity is formally created, designated, or recognized in a particular role, status, or identity as another entity.
-
B.
establishedTo
Indicates that one entity was created, founded, or set up for the purpose of serving, supporting, or enabling another entity.
-
C.
establishedBase
Indicates that an entity has set up or founded a base or primary operational location in relation to another entity or place.
-
D.
establishedToImplement
Indicates that something (such as an organization, system, or structure) was created or set up for the purpose of carrying out or realizing a particular plan, policy, function, or objective.
-
E.
establishedFollowing
Indicates that one entity created or set up another entity after, and in consequence of, a prior entity or event.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:11 a.m.