Triple
T5180724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Southern and Antarctic Lands |
E116912
|
entity |
| Predicate | includesTerritoryType |
P19260
|
FINISHED |
| Object | subantarctic islands |
—
|
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: subantarctic islands | Statement: [French Southern and Antarctic Lands, includesTerritoryType, subantarctic islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTerritoryType Context triple: [French Southern and Antarctic Lands, includesTerritoryType, subantarctic islands]
-
A.
includedTerritoryType
chosen
Indicates that one territory type is contained within, or forms part of, another territory type.
-
B.
territoryIncluded
Indicates that one territory is geographically or administratively contained within another territory.
-
C.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
-
D.
sometimesIncludesTerritory
Indicates that one entity occasionally, but not consistently, encompasses or contains the territory of another entity.
-
E.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.