Triple
T37665834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand Kingdom |
E937817
|
entity |
| Predicate | regionalCoinShape |
P202317
|
FINISHED |
| Object | purple triangle |
—
|
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: purple triangle | Statement: [Sand Kingdom, regionalCoinShape, purple triangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalCoinShape Context triple: [Sand Kingdom, regionalCoinShape, purple triangle]
-
A.
coinageType
Indicates the specific type or category of coinage associated with an entity, such as its denomination, series, or monetary classification.
-
B.
regionShaped
Indicates that one region determines or influences the shape or form of another region.
-
C.
coinedDenomination
Indicates that an entity created or introduced a particular name, term, or denomination for something.
-
D.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
-
E.
denominationPartOf
Indicates that a specific denomination is a constituent or subordinate part of a larger religious organization or tradition.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_6a00717eaaac8190aeb980562fe30d31 |
completed | May 10, 2026, 11:52 a.m. |
Created at: May 3, 2026, 4:18 p.m.