Triple
T24751185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National District |
E619148
|
entity |
| Predicate | hasNationalCongressSeat |
P157831
|
FINISHED |
| Object | Santo Domingo |
—
|
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: Santo Domingo | Statement: [National District, hasNationalCongressSeat, Santo Domingo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalCongressSeat Context triple: [National District, hasNationalCongressSeat, Santo Domingo]
-
A.
hasHouseSeat
Indicates that an entity holds or is assigned a seat or position in a particular house (such as a legislative or representative body).
-
B.
hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
-
C.
hasVotingRepresentationOn
Indicates that one entity holds the right or authority to participate in decision-making or governance processes on behalf of another entity within a specified body or forum.
-
D.
haveUpperHouseRepresentationIn
Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
-
E.
representedInCongressBy
Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 4:24 a.m.