Triple
T33447381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarborough Subway Extension of Line 2 Bloor–Danforth |
E856542
|
entity |
| Predicate | provinceAgency |
P196096
|
FINISHED |
| Object | Metrolinx |
—
|
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: Metrolinx | Statement: [Scarborough Subway Extension of Line 2 Bloor–Danforth, provinceAgency, Metrolinx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceAgency Context triple: [Scarborough Subway Extension of Line 2 Bloor–Danforth, provinceAgency, Metrolinx]
-
A.
stateAgencyOf
Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
-
B.
provinceOfficial
Indicates that an individual holds an official governmental position within a specific province.
-
C.
countryAgency
Indicates that a particular agency is officially associated with, operates within, or is governed by a specific country.
-
D.
provinceCivil
Indicates that a province is involved in a civil (non-criminal) legal or administrative matter related to another entity.
-
E.
provinceRepresents
Indicates that a province acts on behalf of, or serves as the official administrative or political representative of, another entity.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: May 1, 2026, 1:37 a.m.