Triple
T33831549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majangir |
E867114
|
entity |
| Predicate | traditionalCashActivity |
P112405
|
FINISHED |
| Object | coffee collection |
—
|
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: coffee collection | Statement: [Majangir, traditionalCashActivity, coffee collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalCashActivity Context triple: [Majangir, traditionalCashActivity, coffee collection]
-
A.
notPhysicalCash
Indicates that the transaction, payment, or value transfer does not involve tangible paper money or coins, but instead uses non-cash forms such as digital, electronic, or other non-physical means.
-
B.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
-
C.
traditionalTrade
chosen
Indicates a relationship where goods or services are exchanged using long-established, customary methods rather than modern or digital trading systems.
-
D.
hasCashForm
Indicates that something exists or is available specifically in the form of cash.
-
E.
turnBanking
Indicates that an entity is executing a turning maneuver that involves banking or tilting laterally, typically as part of directional change.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:46 a.m.