Triple
T1757727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiraz |
E38586
|
entity |
| Predicate | typicalAgingPotential |
P2072
|
FINISHED |
| Object | good aging potential |
—
|
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: good aging potential | Statement: [Shiraz, typicalAgingPotential, good aging potential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgingPotential Context triple: [Shiraz, typicalAgingPotential, good aging potential]
-
A.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
-
B.
agePattern
Indicates a relationship where entities share or follow a specific configuration, distribution, or rule regarding their ages.
-
C.
maturityRange
Indicates the span or limits of maturity (such as age, development stage, or readiness) within which the related entities or conditions are considered applicable.
-
D.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
E.
agingPotential
chosen
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.