Triple
T29817232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific |
E757142
|
entity |
| Predicate | isAlsoBuiltFor |
P167901
|
FINISHED |
| Object | narrow gauge |
—
|
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: narrow gauge | Statement: [Pacific, isAlsoBuiltFor, narrow gauge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlsoBuiltFor Context triple: [Pacific, isAlsoBuiltFor, narrow gauge]
-
A.
isBuiltFor
Indicates that one entity is specifically designed, intended, or optimized to serve, support, or accommodate another entity or purpose.
-
B.
structureBuiltFor
Indicates that one entity was constructed specifically to serve, house, or support the function, use, or needs of another entity.
-
C.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
D.
engineeredForLabel
Indicates that something has been specifically designed, adapted, or optimized to serve, support, or be used for the referenced label or purpose.
-
E.
builtAsPartOf
Indicates that one entity was constructed as a component or subset of a larger, encompassing entity or project.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675642e3c819098f45ff76b60355f |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:27 p.m.