Triple
T1325599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tutu |
E28319
|
entity |
| Predicate | hasPostalTerritoryStatus |
P26569
|
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: [Tutu, hasPostalTerritoryStatus, unincorporated territory of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostalTerritoryStatus Context triple: [Tutu, hasPostalTerritoryStatus, unincorporated territory of the United States]
-
A.
hasPostalCountryCode
Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
-
B.
hasPostalSystem
Indicates that an entity possesses or operates an organized system for sending, receiving, and delivering mail or parcels.
-
C.
hasPostalRole
Indicates that an entity holds or is assigned a specific role or function within a postal or mail-related context.
-
D.
hasPostalAddressRegion
Indicates the region component (such as state, province, or area) associated with an entity’s postal address.
-
E.
hasPostalAbbreviationState
Indicates that a state is associated with a specific standardized postal abbreviation.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.