Triple
T5752339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit Coins |
E126881
|
entity |
| Predicate | purchaseMethod |
P66539
|
FINISHED |
| Object | credit card |
—
|
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: credit card | Statement: [Reddit Coins, purchaseMethod, credit card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purchaseMethod Context triple: [Reddit Coins, purchaseMethod, credit card]
-
A.
purchaseLocation
Indicates the place or venue where a purchase or transaction is made.
-
B.
purchasedFrom
Indicates that one entity bought or acquired something from another entity as the seller or source.
-
C.
purchasePrice
Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
-
D.
procurementMethod
Indicates the specific process or approach used to acquire goods, services, or works (e.g., open tender, direct purchase, negotiated procedure).
-
E.
ticketPurchaseMethod
Indicates the method or channel through which a ticket was purchased (e.g., online, in person, via mobile app).
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.