Triple
T29586019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Saint-Jacques-de-la-Boucherie |
E754020
|
entity |
| Predicate | locatedInFormerQuarter |
P85528
|
FINISHED |
| Object | butchers’ district of Paris |
—
|
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: butchers’ district of Paris | Statement: [Church of Saint-Jacques-de-la-Boucherie, locatedInFormerQuarter, butchers’ district of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFormerQuarter Context triple: [Church of Saint-Jacques-de-la-Boucherie, locatedInFormerQuarter, butchers’ district of Paris]
-
A.
locatedWithinFormer
chosen
Indicates that one entity is or was geographically contained within the boundaries of another entity that no longer exists in its former administrative or territorial form.
-
B.
situatedInQuarter
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
-
C.
locatedAtFormer
Indicates that an entity is currently located at a place where another entity was previously located.
-
D.
locatedInFormerNamePlace
Indicates that an entity is located in a place that is referred to by its former or historical name rather than its current name.
-
E.
locatedNearFormer
Indicates that one entity is situated close to another entity that previously occupied a nearby or the same location.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a0045a7b4c081908e4dedabda7cf790 |
completed | May 10, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_6a0042b148a48190974b173f352e4b7f |
completed | May 10, 2026, 8:32 a.m. |
Created at: April 28, 2026, 6:10 p.m.