Triple
T33829949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 169P/NEAT |
E867067
|
entity |
| Predicate | hasDiscoveryCountry |
P16041
|
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: [169P/NEAT, hasDiscoveryCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscoveryCountry Context triple: [169P/NEAT, hasDiscoveryCountry, United States]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
discoveredInCountry
chosen
Indicates that something was discovered within the geographical boundaries or jurisdiction of a specified country.
-
C.
wasDiscoveredIn
Indicates that an entity became known or was first identified during a specific time period or at a particular place.
-
D.
seeCountry
Indicates that one entity observes, visits, or becomes aware of a particular country.
-
E.
countryFound
Indicates that a particular country is the location where an entity was discovered, established, or first identified.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
Created at: May 1, 2026, 1:46 a.m.