Triple
T2750385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimetière de Montmartre |
E60969
|
entity |
| Predicate | foundedOnFormerSiteOf |
P29934
|
FINISHED |
| Object | gypsum quarries |
—
|
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: gypsum quarries | Statement: [Cimetière de Montmartre, foundedOnFormerSiteOf, gypsum quarries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedOnFormerSiteOf Context triple: [Cimetière de Montmartre, foundedOnFormerSiteOf, gypsum quarries]
-
A.
foundedOnSiteOf
chosen
Indicates that something was established or built at the same physical location where another, earlier entity or structure previously existed.
-
B.
foundedCityOnSiteOf
Indicates that a city was established on the same physical location where another settlement or city previously existed.
-
C.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
D.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
E.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.