Triple
T4322940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romneya coulteri |
E96559
|
entity |
| Predicate | isFireFollower |
P56232
|
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: [Romneya coulteri, isFireFollower, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFireFollower Context triple: [Romneya coulteri, isFireFollower, true]
-
A.
underFire
Indicates that an entity is being attacked, heavily criticized, or subjected to intense pressure by another entity or group.
-
B.
hasEternalFlame
Indicates that an entity possesses or maintains a flame that is intended to burn perpetually without being extinguished.
-
C.
followerOf
Indicates that one entity subscribes to, tracks, or regularly receives updates from another entity, typically in a social or informational context.
-
D.
isFern
Indicates that the subject is classified as a fern, i.e., a plant belonging to the group of vascular, spore-producing, non-flowering plants.
-
E.
notableFire
Indicates that a significant or historically important fire event is associated with the subject.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:12 p.m.