Triple
T1998290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinus |
E43405
|
entity |
| Predicate | evergreenMajority |
P14653
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pinus, evergreenMajority, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evergreenMajority Context triple: [Pinus, evergreenMajority, true]
-
A.
majorityVote
Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
-
B.
hasMajority
Indicates that one entity holds more than half of the total share, control, or quantity in relation to another entity or set.
-
C.
majorityDenomination
Indicates that a specified religious denomination constitutes the largest share of a given population or group.
-
D.
majorityType
chosen
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
E.
justiceInMajority
Indicates that the concept or outcome of justice is reflected in, supported by, or aligned with the position held by the majority.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.