Triple

T37639716
Position Surface form Disambiguated ID Type / Status
Subject Bagong Silangan E936581 entity
Predicate partOf P40 FINISHED
Object Second District of Quezon City
The Second District of Quezon City is a legislative and administrative district in Quezon City, Metro Manila, composed of several barangays including Bagong Silangan.
E2238557 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: Second District of Quezon City | Statement: [Bagong Silangan, partOf, Second District of Quezon City]
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: Second District of Quezon City
Triple: [Bagong Silangan, partOf, Second District of Quezon City]
Generated description
The Second District of Quezon City is a legislative and administrative district in Quezon City, Metro Manila, composed of several barangays including Bagong Silangan.

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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba9818db88190add7e43cc3e1f3fd completed May 6, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cdaf148c81909f01d3b0c5e4e884 completed June 28, 2026, 7:30 a.m.
NEDg Description generation batch_6a40ce8641f48190b092a17b7510ff41 completed June 28, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a40cf0a14208190a8477690cbebfb66 completed June 28, 2026, 7:36 a.m.
Created at: May 3, 2026, 4:18 p.m.