Triple
T33843761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alo |
E867422
|
entity |
| Predicate | administrativeStatusWithinFrance |
P27128
|
FINISHED |
| Object | part of overseas collectivity of Wallis and Futuna |
—
|
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: part of overseas collectivity of Wallis and Futuna | Statement: [Alo, administrativeStatusWithinFrance, part of overseas collectivity of Wallis and Futuna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeStatusWithinFrance Context triple: [Alo, administrativeStatusWithinFrance, part of overseas collectivity of Wallis and Futuna]
-
A.
statusInFrance
chosen
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
B.
hostStatusOfFrance
Indicates the hosting status or role that France holds in a given context or event.
-
C.
infrastructureManagerFrance
Indicates that an entity serves as the manager or operator responsible for infrastructure within France.
-
D.
reservedToFrance
Indicates that something is exclusively allocated or designated for France.
-
E.
legalStatusInBelgium
Indicates the legal status or standing that an entity holds within the jurisdiction of Belgium.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 1, 2026, 1:47 a.m.