Triple
T8921489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinganghat |
E212425
|
entity |
| Predicate | hasMarketCommodity |
P86421
|
FINISHED |
| Object | raw cotton |
—
|
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: raw cotton | Statement: [Hinganghat, hasMarketCommodity, raw cotton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketCommodity Context triple: [Hinganghat, hasMarketCommodity, raw cotton]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
hasMarketIndex
Indicates that an entity is associated with, or tracked by, a specific market index.
-
C.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
D.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
E.
hasMarketStatus
Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc665024f081909515e02e5f5b2221 |
completed | April 1, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc600a59708190ae426044bbcd7929 |
completed | April 1, 2026, midnight |
Created at: March 30, 2026, 6:56 p.m.