Triple
T29823078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ortolan Finistirre |
E757300
|
entity |
| Predicate | positionOnTobacco |
P195493
|
FINISHED |
| Object | anti-tobacco |
—
|
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: anti-tobacco | Statement: [Ortolan Finistirre, positionOnTobacco, anti-tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnTobacco Context triple: [Ortolan Finistirre, positionOnTobacco, anti-tobacco]
-
A.
containsTobacco
Indicates that one entity includes tobacco as a component, ingredient, or constituent part of itself.
-
B.
smokingLocation
Indicates the place or environment where the act of smoking occurs or is permitted.
-
C.
usesTobaccoType
Indicates that an entity consumes or makes use of a specified type or form of tobacco.
-
D.
tobaccoRepresents
Indicates that one entity symbolically stands for, signifies, or is used as a representation of tobacco in some context.
-
E.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 29, 2026, 5:30 p.m.