Triple
T16638790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonsecours Market |
E404275
|
entity |
| Predicate | cityHallUseStart |
P17715
|
FINISHED |
| Object | 1852 |
—
|
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: 1852 | Statement: [Bonsecours Market, cityHallUseStart, 1852]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityHallUseStart Context triple: [Bonsecours Market, cityHallUseStart, 1852]
-
A.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
B.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
C.
usedAsCityHallUntil
Indicates that a building or location functioned as the city hall up to a specified end date or time period.
-
D.
municipalOfficesOpened
Indicates that municipal government offices have begun operating or have been officially opened for public service.
-
E.
usedAsCityHallFrom
chosen
Indicates that a building or location functioned as the official city hall of a municipality during a specified time period.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37acff38081908c8044936b794ce0 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.