Triple
T23639473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean strategy of Revolutionary France |
E583844
|
entity |
| Predicate | hasKeyTheatre |
P152990
|
FINISHED |
| Object | Western Mediterranean Sea |
—
|
NE NERFINISHED |
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: Western Mediterranean Sea | Statement: [Mediterranean strategy of Revolutionary France, hasKeyTheatre, Western Mediterranean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyTheatre Context triple: [Mediterranean strategy of Revolutionary France, hasKeyTheatre, Western Mediterranean Sea]
-
A.
hasTicketHall
Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
-
B.
hasTheatreDistrictRole
Indicates that an entity holds a specific role, function, or designation within a theatre district.
-
C.
hasNeighbouringTheatre
Indicates that one theatre is located close enough to another theatre to be considered its neighbor.
-
D.
hasMovieTheater
Indicates that one entity possesses, contains, or includes a movie theater as part of its facilities or attributes.
-
E.
isPartOfTheater
Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
- F. None of above. chosen
Provenance (4 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b27fc22c8190abda7398b9fb928c |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:48 p.m.