Triple
T36324677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, je t'aime segment "Père-Lachaise" |
E894427
|
entity |
| Predicate | hasAnthologySegmentNumberApproximate |
P83262
|
FINISHED |
| Object | one of 18 segments |
—
|
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: one of 18 segments | Statement: [Paris, je t'aime segment "Père-Lachaise", hasAnthologySegmentNumberApproximate, one of 18 segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnthologySegmentNumberApproximate Context triple: [Paris, je t'aime segment "Père-Lachaise", hasAnthologySegmentNumberApproximate, one of 18 segments]
-
A.
isAnthologySegmentOf
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
numberInAnthology
chosen
Indicates the specific position or sequence number that a work occupies within an anthology.
-
C.
hasAnthologyFormat
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
-
D.
hasAnthologyRelation
Indicates that there is a relationship between entities based on their inclusion in, contribution to, or association with the same anthology or collected work.
-
E.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:09 p.m.