Triple
T31283669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | courts of appeal of France |
E797741
|
entity |
| Predicate | overseasIncludes |
P179829
|
FINISHED |
| Object | cour d’appel de Basse-Terre |
—
|
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: cour d’appel de Basse-Terre | Statement: [courts of appeal of France, overseasIncludes, cour d’appel de Basse-Terre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overseasIncludes Context triple: [courts of appeal of France, overseasIncludes, cour d’appel de Basse-Terre]
-
A.
overseasCountry
Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
-
B.
servedOverseas
Indicates that an entity performed service or duty in a foreign country or outside its home nation.
-
C.
internationalDestinationsInclude
Indicates that a given entity’s set of international destinations contains or covers the specified destination(s).
-
D.
includesCountriesWith
Indicates that something contains or encompasses one or more specified countries as part of its scope or composition.
-
E.
locatedInOverseasCountry
Indicates that an entity is situated in a country that is overseas relative to a given reference location or jurisdiction.
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 29, 2026, 9:13 p.m.