Triple
T27068757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-de-Paix |
E685253
|
entity |
| Predicate | arrondissementCapitalOf |
P115205
|
FINISHED |
| Object | Port-de-Paix Arrondissement |
—
|
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: Port-de-Paix Arrondissement | Statement: [Port-de-Paix, arrondissementCapitalOf, Port-de-Paix Arrondissement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrondissementCapitalOf Context triple: [Port-de-Paix, arrondissementCapitalOf, Port-de-Paix Arrondissement]
-
A.
capitalOfArrondissement
chosen
Indicates that a place serves as the administrative capital (seat) of a specified arrondissement.
-
B.
countryCapitalArrondissement
Indicates that a given arrondissement is an administrative district within the capital city of a specified country.
-
C.
capitalOfCommune
Indicates that one place serves as the administrative capital or chief town of a given commune.
-
D.
hasArrondissement
Indicates a relationship where an administrative unit or locality is associated with, or belongs to, a specific arrondissement.
-
E.
hasNumberOfArrondissements
Indicates the relationship that specifies how many arrondissements (administrative districts) are associated with a given entity.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622eb05c08190af8651dda80ace28 |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:26 a.m.