Triple
T27646872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilgiri tea |
E696735
|
entity |
| Predicate | notableHarvest |
P201575
|
FINISHED |
| Object | frost tea |
—
|
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: frost tea | Statement: [Nilgiri tea, notableHarvest, frost tea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHarvest Context triple: [Nilgiri tea, notableHarvest, frost tea]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
notableHub
Indicates that an entity serves as a significant central point or focal location for activities, connections, or influence within a particular context.
-
C.
notableProduct
Indicates that a product is especially significant, prominent, or well-known in relation to the associated entity.
-
D.
notableSeed
Indicates that an entity is a seed that is particularly significant, prominent, or noteworthy in some context.
-
E.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
| PDg | Predicate description generation | batch_6a000821b12c819093ca3b3dc0cff370 |
completed | May 10, 2026, 4:22 a.m. |
Created at: April 27, 2026, 2:29 p.m.