Triple
T36324670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, je t'aime segment "Père-Lachaise" |
E894427
|
entity |
| Predicate | partOfAnthologyConcept |
P81123
|
FINISHED |
| Object | each segment set in a different Paris neighborhood |
—
|
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: each segment set in a different Paris neighborhood | Statement: [Paris, je t'aime segment "Père-Lachaise", partOfAnthologyConcept, each segment set in a different Paris neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAnthologyConcept Context triple: [Paris, je t'aime segment "Père-Lachaise", partOfAnthologyConcept, each segment set in a different Paris neighborhood]
-
A.
isAnthologySegmentOf
chosen
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
C.
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.
-
D.
partOfConcept
Indicates that one concept is a constituent or component of a larger, more encompassing concept.
-
E.
hasPartInWrittenWork
Indicates that an entity participates in or contributes to the creation of a written 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_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: May 3, 2026, 4:09 p.m.