Triple
T1488273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the House of Representatives |
E29517
|
entity |
| Predicate | mayHavePower |
P21124
|
FINISHED |
| Object | to cast tie‑breaking votes in some systems |
—
|
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: to cast tie‑breaking votes in some systems | Statement: [Speaker of the House of Representatives, mayHavePower, to cast tie‑breaking votes in some systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHavePower Context triple: [Speaker of the House of Representatives, mayHavePower, to cast tie‑breaking votes in some systems]
-
A.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
B.
typeOfPowerGranted
chosen
Indicates the specific kind or category of power or authority that is conferred from one entity to another.
-
C.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
D.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
E.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a44efc819084254614d8ea4669 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.