Triple
T13101231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Base Realignment and Closure |
E310721
|
entity |
| Predicate | firstRound |
P108063
|
FINISHED |
| Object | 1988 BRAC round |
—
|
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: 1988 BRAC round | Statement: [Base Realignment and Closure, firstRound, 1988 BRAC round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRound Context triple: [Base Realignment and Closure, firstRound, 1988 BRAC round]
-
A.
firstRoundDate
Indicates the date on which the first round of an event, process, or competition takes place.
-
B.
firstRoundEndDate
Indicates the date on which the first round of an event, process, or competition concludes.
-
C.
firstRoundLeadingCandidate
Indicates that the subject is the candidate who is leading in vote count after the first round of an election or selection process.
-
D.
firstRoundRunnerUp
Indicates that an entity finished in second place in the first round of a competition or selection process.
-
E.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:04 p.m.