Triple
T5737488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pistacia |
E126533
|
entity |
| Predicate | resinSource |
P409
|
FINISHED |
| Object | mastic (from Pistacia lentiscus) |
—
|
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: mastic (from Pistacia lentiscus) | Statement: [Pistacia, resinSource, mastic (from Pistacia lentiscus)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resinSource Context triple: [Pistacia, resinSource, mastic (from Pistacia lentiscus)]
-
A.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
B.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
C.
inscriptionSource
Indicates the origin or source from which an inscription was derived, created, or obtained.
-
D.
commissioningSource
Indicates the origin or authority (such as an institution, program, or body) that formally granted someone their commission or official appointment.
-
E.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.