Triple
T770189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 87th United States Congress |
E16263
|
entity |
| Predicate | legislativeSessionCount |
P11319
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [87th United States Congress, legislativeSessionCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeSessionCount Context triple: [87th United States Congress, legislativeSessionCount, 2]
-
A.
hasLegislativeSessionCount
chosen
Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
-
B.
legislativeSession
Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
-
C.
legislativePeriod
Indicates the specific legislative term or session during which an action, event, or status is valid or took place.
-
D.
legislativeTermNumber
Indicates the ordinal number assigned to a specific legislative term within a sequence of legislative periods.
-
E.
legislatureNumber
Indicates the specific numbered session or term of a legislative body associated with an entity or event.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a704fb148190b203a5bdd77e961c |
completed | March 1, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.