Triple
T3330756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calicut |
E70026
|
entity |
| Predicate | historicalTradeGoods |
P581
|
FINISHED |
| Object | black pepper |
—
|
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: black pepper | Statement: [Calicut, historicalTradeGoods, black pepper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalTradeGoods Context triple: [Calicut, historicalTradeGoods, black pepper]
-
A.
historicallyStoredGoods
Indicates that an entity has previously stored certain goods at some time in the past.
-
B.
historicTradeRole
Indicates that an entity historically functioned as a significant participant or hub in trade or commercial exchange.
-
C.
historicalPeriodOfIntenseTrade
Indicates a time span characterized by unusually high levels of trade activity between parties or regions.
-
D.
includesTradeRoute
Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
-
E.
historicallyPrizedFor
chosen
Indicates that something has been especially valued or esteemed for a particular quality, use, or significance in the past.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb191e1988190a1d88596f6605aff |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.