Triple
T33430093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Senate District 24 |
E856103
|
entity |
| Predicate | hasUpperHouseSeat |
P42012
|
FINISHED |
| Object | Texas State Senate |
—
|
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: Texas State Senate | Statement: [Texas Senate District 24, hasUpperHouseSeat, Texas State Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperHouseSeat Context triple: [Texas Senate District 24, hasUpperHouseSeat, Texas State Senate]
-
A.
haveUpperHouseRepresentationIn
Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
-
B.
hasUpperHouseCountry
Indicates that a country possesses an upper house within its national legislative or parliamentary system.
-
C.
hasLowerHouseSeats
Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
-
D.
hasHouseSeat
Indicates that an entity holds or is assigned a seat or position in a particular house (such as a legislative or representative body).
-
E.
upperHouseRepresentation
chosen
Indicates the relationship by which an entity is represented in, or holds seats within, an upper legislative chamber (such as a senate or upper house of parliament).
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.