Triple
T33942879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamunkey |
E870211
|
entity |
| Predicate | reservationCountry |
P178130
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Pamunkey, reservationCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservationCountry Context triple: [Pamunkey, reservationCountry, United States]
-
A.
registrationCountry
Indicates the country in which an entity is officially registered or incorporated.
-
B.
recipientCountry
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
-
C.
residenceCountry
Indicates the country in which an entity lives or has their primary place of residence.
-
D.
landingCountry
Indicates the country in which a landing event (such as an aircraft or spacecraft landing) takes place.
-
E.
endingCountry
Indicates the country in which an event, journey, process, or relationship comes to an end.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:49 a.m.