Triple

T38573116
Position Surface form Disambiguated ID Type / Status
Subject Sri Poyyatha Vinayagar Moorthi Temple E929329 entity
Predicate locatedOnStreet P959 FINISHED
Object Jalan Tukang Emas
Jalan Tukang Emas is a historic street in Malacca, Malaysia, famed for its concentration of religious sites from different faiths, including the Sri Poyyatha Vinayagar Moorthi Temple.
 E2276562 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: Jalan Tukang Emas | Statement: [Sri Poyyatha Vinayagar Moorthi Temple, locatedOnStreet, Jalan Tukang Emas]
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: Jalan Tukang Emas
Triple: [Sri Poyyatha Vinayagar Moorthi Temple, locatedOnStreet, Jalan Tukang Emas]
Generated description
Jalan Tukang Emas is a historic street in Malacca, Malaysia, famed for its concentration of religious sites from different faiths, including the Sri Poyyatha Vinayagar Moorthi Temple.

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_69f76ebd2248819083978362d81fa35e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd91eb5708190898c62af8c8201c1 completed May 7, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea92cb84819083e10a165f41509d completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41eb4f26e481908d2c85e0d36444e2 completed June 29, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a41ebd65c688190bbc848f604bd9e3c completed June 29, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:32 p.m.