Triple
T37285048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramganj Mandi |
E925507
|
entity |
| Predicate | agriculturalMarketType |
P187700
|
FINISHED |
| Object | mandi (wholesale market) |
—
|
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: mandi (wholesale market) | Statement: [Ramganj Mandi, agriculturalMarketType, mandi (wholesale market)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalMarketType Context triple: [Ramganj Mandi, agriculturalMarketType, mandi (wholesale market)]
-
A.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
B.
agriculturalOutputDestination
Indicates the destination or recipient to which agricultural output is directed or delivered.
-
C.
hasAgriculturalType
Indicates that an entity is associated with or classified by a specific type or category of agriculture.
-
D.
agriculturalExportShare
Indicates the proportion of a region’s total exports that consists of agricultural products.
-
E.
agriculturalFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.