Triple

T37669116
Position Surface form Disambiguated ID Type / Status
Subject Nicanor Reyes Street E937902 entity
Predicate formerName P65 FINISHED
Object Morayta Street
Morayta Street is the former name of Nicanor Reyes Street, a major thoroughfare in Manila, Philippines, known for running through the University Belt area.
E2294002 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: Morayta Street | Statement: [Nicanor Reyes Street, formerName, Morayta Street]
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: Morayta Street
Triple: [Nicanor Reyes Street, formerName, Morayta Street]
Generated description
Morayta Street is the former name of Nicanor Reyes Street, a major thoroughfare in Manila, Philippines, known for running through the University Belt area.

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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba9e37be08190a8698573dd71093c completed May 6, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b5f893c948190964d6c7638b02a02 completed Aug. 11, 2026, 5:44 p.m.
NEDg Description generation batch_6a7b5ff24f508190af10fd1962575dbf completed Aug. 11, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a7b604afe1c819093ea4c0837915bd2 completed Aug. 11, 2026, 5:47 p.m.
Created at: May 3, 2026, 4:18 p.m.