Triple
T31840334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aratta |
E812784
|
entity |
| Predicate | tributeItems |
P140067
|
FINISHED |
| Object | metals |
—
|
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: metals | Statement: [Aratta, tributeItems, metals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tributeItems Context triple: [Aratta, tributeItems, metals]
-
A.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
B.
tributeElement
chosen
Indicates that one entity serves as a component, contribution, or constituent part of a larger tribute associated with another entity.
-
C.
tributeFrom
Indicates that one entity pays or provides tribute, often as a sign of submission or obligation, to another entity.
-
D.
tributeIn
Indicates that one entity pays or provides tribute within, or to the authority of, a specified place or jurisdiction.
-
E.
tributeSystem
Indicates a relationship where one entity regularly provides payments, goods, or services to another as a sign of submission, allegiance, or obligation.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aff9c1008190a02f0a8ff0728d0d |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:49 p.m.