Triple
T3774211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenax |
E83267
|
entity |
| Predicate | associatedWithCommonName |
P13147
|
FINISHED |
| Object | hemp family genus |
—
|
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: hemp family genus | Statement: [Phenax, associatedWithCommonName, hemp family genus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCommonName Context triple: [Phenax, associatedWithCommonName, hemp family genus]
-
A.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
B.
includesCommonName
chosen
Indicates that one entity contains or specifies a commonly used (non-scientific) name for another entity.
-
C.
commonName
Indicates that one entity is the commonly used or vernacular name by which the other entity is known.
-
D.
commonNameOf
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
E.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.