Triple
T25490561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallamkali |
E638825
|
entity |
| Predicate | mainBoatTypeUsed |
P114166
|
FINISHED |
| Object |
chundan vallam
Chundan vallam is a traditional long, narrow snake boat from Kerala, India, famed for its use in the region’s spectacular backwater boat races.
|
E1682901
|
NE FINISHED |
How this triple was built (3 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: chundan vallam | Statement: [Vallamkali, mainBoatTypeUsed, chundan vallam]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: chundan vallam Triple: [Vallamkali, mainBoatTypeUsed, chundan vallam]
Generated description
Chundan vallam is a traditional long, narrow snake boat from Kerala, India, famed for its use in the region’s spectacular backwater boat races.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBoatTypeUsed Context triple: [Vallamkali, mainBoatTypeUsed, chundan vallam]
-
A.
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.
-
B.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
C.
hasTraditionalBoatType
chosen
Indicates that an entity is associated with or characterized by a specific traditional type of boat.
-
D.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
boatTraveledOn
Indicates that a boat moved or was transported along or across a specified body of water or route.
- F. None of above.
Provenance (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ad6dc00081909c613de143b0b372 |
completed | May 22, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_6a10ae2f577481909be995d38010dcf7 |
completed | May 22, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10aef10de8819099e12e65f4f9e768 |
completed | May 22, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:38 p.m.