Triple
T25490590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallamkali |
E638825
|
entity |
| Predicate | boatConstructionTradition |
P100578
|
FINISHED |
| Object | traditional Kerala craftsmanship |
—
|
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: traditional Kerala craftsmanship | Statement: [Vallamkali, boatConstructionTradition, traditional Kerala craftsmanship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatConstructionTradition Context triple: [Vallamkali, boatConstructionTradition, traditional Kerala craftsmanship]
-
A.
seaNavigationTradition
Indicates a tradition, practice, or custom related to navigating or traveling by sea.
-
B.
hasTraditionalBoatType
Indicates that an entity is associated with or characterized by a specific traditional type of boat.
-
C.
builderTradition
chosen
Indicates a relationship where an entity follows, embodies, or is associated with a particular tradition or customary practices of builders or construction craftsmanship.
-
D.
boatConstructionMaterial
Indicates the material from which a boat is (or was) constructed.
-
E.
shipbuildingActivity
Indicates the activity or process of constructing, assembling, or significantly modifying ships or large watercraft.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a4658081908758aa293923090d |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:38 p.m.