Triple
T32450320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belinyu |
E829261
|
entity |
| Predicate | hasHistoricalResource |
P76507
|
FINISHED |
| Object | tin |
—
|
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: tin | Statement: [Belinyu, hasHistoricalResource, tin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalResource Context triple: [Belinyu, hasHistoricalResource, tin]
-
A.
hasResourceHistory
Indicates that an entity is associated with a record or sequence of past states, usages, or changes of a particular resource over time.
-
B.
includesHistoricResource
chosen
Indicates that one entity contains, encompasses, or otherwise has within its scope a historic resource.
-
C.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
D.
hasHistoricalService
Indicates that an entity has previously provided service or fulfilled a role during a past historical period or event.
-
E.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 1, 2026, 12:56 a.m.