Triple
T31559060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAZ |
E805208
|
entity |
| Predicate | associatedTerritoryStatus |
P207458
|
FINISHED |
| Object | unincorporated territory of the United States |
—
|
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: unincorporated territory of the United States | Statement: [MAZ, associatedTerritoryStatus, unincorporated territory of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTerritoryStatus Context triple: [MAZ, associatedTerritoryStatus, unincorporated territory of the United States]
-
A.
associatedStatus
Indicates that one entity is linked to or characterized by a particular status or condition.
-
B.
associatedTitleTerritory
Indicates a relationship where a specific title is linked or connected to a particular territory or domain.
-
C.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
D.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
E.
recognizedTerritory
Indicates that one entity formally acknowledges another entity’s claim of authority or ownership over a specific geographic area.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 10:14 p.m.