Triple

T24279465
Position Surface form Disambiguated ID Type / Status
Subject Chola maritime expeditions to Southeast Asia E605499 entity
Predicate conflictWith P4897 FINISHED
Object Valaippanduru
Valaippanduru was a Southeast Asian polity or port-state that came into military conflict with the Chola Empire during its maritime expansion in the region.
E1630166 NE 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: Valaippanduru | Statement: [Chola maritime expeditions to Southeast Asia, conflictWith, Valaippanduru]
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: Valaippanduru
Triple: [Chola maritime expeditions to Southeast Asia, conflictWith, Valaippanduru]
Generated description
Valaippanduru was a Southeast Asian polity or port-state that came into military conflict with the Chola Empire during its maritime expansion in the region.

Provenance (5 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_69e2954707dc8190915551eb114cfff6 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f51050481908a9bd3c586702057 completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd64a84d4819091dc0c903b9c6b6d completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd6f734888190aeb6b32705ca20b3 completed May 22, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd7e7745c8190b92943a117d4496c completed May 22, 2026, 4:13 a.m.
Created at: April 18, 2026, 12:07 a.m.