Triple
T27173655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire public defender’s office |
E682983
|
entity |
| Predicate | opposesPartyInCourt |
P44728
|
FINISHED |
| Object | state prosecutors |
—
|
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: state prosecutors | Statement: [New Hampshire public defender’s office, opposesPartyInCourt, state prosecutors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesPartyInCourt Context triple: [New Hampshire public defender’s office, opposesPartyInCourt, state prosecutors]
-
A.
opposesPartyType
Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
-
B.
opposedPoliticalEntity
Indicates that one political entity is in opposition or conflict with another in terms of policies, ideology, or power.
-
C.
opposingParticipants
Indicates that the related entities are participants positioned in opposition to each other within the same interaction, event, or context.
-
D.
hasOpposedParty
Indicates that one party is in an opposing or adversarial position relative to another party, typically within a dispute, conflict, or legal proceeding.
-
E.
opponentInCase
chosen
Indicates that two parties are on opposing sides in the same legal case or proceeding.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 9:25 a.m.