Triple
T16801537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdera |
E408367
|
entity |
| Predicate | tributeAssessment |
P124686
|
FINISHED |
| Object | 15 talents |
—
|
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: 15 talents | Statement: [Abdera, tributeAssessment, 15 talents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tributeAssessment Context triple: [Abdera, tributeAssessment, 15 talents]
-
A.
tributeFrom
Indicates that one entity pays or provides tribute, often as a sign of submission or obligation, to another entity.
-
B.
tributeAssessmentReputation
Indicates the evaluation of an entity’s reputation specifically in the context of determining or justifying a tribute assessment.
-
C.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
D.
tributeSystem
Indicates a relationship where one entity regularly provides payments, goods, or services to another as a sign of submission, allegiance, or obligation.
-
E.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2c826808190aa0a5bfcde2e49a8 |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326bac94481908c082117553320f8 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:22 a.m.