Triple
T31823392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkland Plateau |
E812323
|
entity |
| Predicate | hasNearbyPoliticalClaimant |
P80106
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Falkland Plateau, hasNearbyPoliticalClaimant, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyPoliticalClaimant Context triple: [Falkland Plateau, hasNearbyPoliticalClaimant, Argentina]
-
A.
nearbyDisputedArea
Indicates that an entity is located close to a geographic area whose ownership, control, or boundaries are contested.
-
B.
hasNearbyPoliticalResidence
Indicates that one entity has a political residence (such as an official home or office of a political figure) located in close physical proximity to another entity.
-
C.
hasNearbyJurisdiction
Indicates that one jurisdiction is geographically close to or adjacent to another jurisdiction.
-
D.
hasNearbyTribalLand
Indicates that an entity is located close to or adjacent to land officially recognized as belonging to a tribal nation or indigenous community.
-
E.
nearbyPoliticalEntity
chosen
Indicates that one political entity is geographically close to another political entity, without necessarily sharing a border.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: April 30, 2026, 11:46 p.m.