Triple
T10497076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegesias of Cyrene |
E247564
|
entity |
| Predicate | positionOnExternalGoods |
P16734
|
FINISHED |
| Object | external goods are indifferent to the wise |
—
|
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: external goods are indifferent to the wise | Statement: [Hegesias of Cyrene, positionOnExternalGoods, external goods are indifferent to the wise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnExternalGoods Context triple: [Hegesias of Cyrene, positionOnExternalGoods, external goods are indifferent to the wise]
-
A.
positionOnTaxation
Indicates a stance or viewpoint an entity holds regarding tax policies, levels, or structures.
-
B.
positionOnGood
chosen
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
-
C.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
D.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
-
E.
positionOnLicensing
Indicates the stance, policy, or viewpoint an entity holds regarding licensing terms, rights, or practices.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.