Triple
T1759086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campylobacter |
E38614
|
entity |
| Predicate | flagella |
P31418
|
FINISHED |
| Object | polar flagellum |
—
|
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: polar flagellum | Statement: [Campylobacter, flagella, polar flagellum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagella Context triple: [Campylobacter, flagella, polar flagellum]
-
A.
flag
Indicates that one entity marks, signals, or draws attention to another entity, often to denote status, importance, or the need for review or action.
-
B.
fly
Indicates movement through the air, typically by using wings or an aircraft, from one location to another.
-
C.
hasAntennae
Indicates that one entity possesses or is equipped with antennae as a physical feature.
-
D.
hasFins
Indicates that an entity possesses fins as physical appendages.
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab173830a481908b67928f16f5d999 |
completed | March 6, 2026, 6:04 p.m. |
Created at: March 4, 2026, 7:31 p.m.