Triple
T34131355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochin fanam |
E875431
|
entity |
| Predicate | interestOf |
P1074
|
FINISHED |
| Object | coin collectors |
—
|
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: coin collectors | Statement: [Cochin fanam, interestOf, coin collectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestOf Context triple: [Cochin fanam, interestOf, coin collectors]
-
A.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
B.
interestMayBe
Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
-
C.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
-
D.
representsInterestOf
chosen
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
E.
primaryInterest
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for another entity.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 1, 2026, 1:53 a.m.