Triple
T33797562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Sandlin |
E866117
|
entity |
| Predicate | lostSeatIn |
P177717
|
FINISHED |
| Object | 2004 United States House of Representatives elections |
—
|
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: 2004 United States House of Representatives elections | Statement: [Max Sandlin, lostSeatIn, 2004 United States House of Representatives elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostSeatIn Context triple: [Max Sandlin, lostSeatIn, 2004 United States House of Representatives elections]
-
A.
lostSeatInApportionment
Indicates that an entity (such as a state or region) lost a previously held representative seat due to a reapportionment process.
-
B.
claimsSeat
Indicates that an entity takes or asserts possession of a particular seat or seating position.
-
C.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
D.
laterSeat
Indicates that one entity is seated in a position that comes after another entity in a specified ordering or sequence of seats.
-
E.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
- F. None of above. chosen
Provenance (4 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:46 a.m.