Triple
T30839133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Société de transport de l’Outaouais |
E785450
|
entity |
| Predicate | borderingCityOfServiceArea |
P110090
|
FINISHED |
| Object | Ottawa |
—
|
NE NERFINISHED |
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: Ottawa | Statement: [Société de transport de l’Outaouais, borderingCityOfServiceArea, Ottawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCityOfServiceArea Context triple: [Société de transport de l’Outaouais, borderingCityOfServiceArea, Ottawa]
-
A.
hasBorderCity
Indicates that one location is a city situated on or very near the border of another geographic or political region.
-
B.
borderingStateMetropolitanArea
Indicates that a metropolitan area is located in a state that shares a border with the referenced state.
-
C.
cityIsBorderCity
Indicates that a city is located on or near a boundary between two regions, countries, or administrative areas.
-
D.
hasAdjacentMunicipalitiesServed
chosen
Indicates that a municipality has neighboring municipalities that are also served by the same service, system, or administrative arrangement.
-
E.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: April 29, 2026, 8:45 p.m.