Triple
T527225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Tax Court |
E10945
|
entity |
| Predicate | partyType |
P7712
|
FINISHED |
| Object | taxpayers |
—
|
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: taxpayers | Statement: [United States Tax Court, partyType, taxpayers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyType Context triple: [United States Tax Court, partyType, taxpayers]
-
A.
party
Indicates that an entity participates as a side or participant in an event, agreement, or situation.
-
B.
typicalParty
chosen
Indicates that an entity is a usual, standard, or characteristic participant in a given type of event, situation, or relationship.
-
C.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
D.
sponsorParty
Indicates that one party provides support, typically financial or promotional, to another party, often in exchange for association or visibility.
-
E.
speakerParty
Indicates the political party or group affiliation of the entity acting as the speaker in a given context.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.