Triple
T6782078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Governors Controversy |
E155706
|
entity |
| Predicate | numberOfClaimants |
P72799
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Three Governors Controversy, numberOfClaimants, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfClaimants Context triple: [Three Governors Controversy, numberOfClaimants, 3]
-
A.
claimantsInclude
Indicates that the specified set or group of claimants contains, as members, the entities referenced.
-
B.
defendantCount
Indicates the number of defendants involved in a particular legal case or proceeding.
-
C.
supportedClaimant
Indicates that one entity has provided assistance, backing, or advocacy in favor of another entity who is making a claim or seeking a benefit.
-
D.
numberOfCases
Indicates the total count of individual instances, occurrences, or records associated with a particular situation, condition, or category.
-
E.
numberOfClans
Indicates the count of distinct clans associated with a given 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26c621c8190a6eddc0d395e13e4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.