Triple
T25490562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallamkali |
E638825
|
entity |
| Predicate | boatTypeDescription |
P24983
|
FINISHED |
| Object | long narrow canoe-like snake boat |
—
|
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: long narrow canoe-like snake boat | Statement: [Vallamkali, boatTypeDescription, long narrow canoe-like snake boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatTypeDescription Context triple: [Vallamkali, boatTypeDescription, long narrow canoe-like snake boat]
-
A.
boatConfiguration
Indicates the specific arrangement, layout, or setup of components or features on a boat.
-
B.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
C.
boatTraveledOn
Indicates that a boat moved or was transported along or across a specified body of water or route.
-
D.
craftType
chosen
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
boatPower
Indicates a relationship where a boat is characterized by or associated with a specific power rating or propulsion strength.
- 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.