Triple
T24146175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilómetro 14 neighborhood |
E598390
|
entity |
| Predicate | likelyLocatedAlong |
P2409
|
FINISHED |
| Object | regional route at 14-kilometer mark |
—
|
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: regional route at 14-kilometer mark | Statement: [Kilómetro 14 neighborhood, likelyLocatedAlong, regional route at 14-kilometer mark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyLocatedAlong Context triple: [Kilómetro 14 neighborhood, likelyLocatedAlong, regional route at 14-kilometer mark]
-
A.
locatedAlong
chosen
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
B.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
C.
oftenLocatedAs
Indicates that one entity is frequently found or situated in the same place as another entity.
-
D.
locatedOnRouteTo
Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
-
E.
situatedOnTransportRoute
Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00b00708190bcd1d0b855230378 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:29 p.m.