Triple

T35129467
Position Surface form Disambiguated ID Type / Status
Subject Rule 33 – Demurrer to Evidence E1014398 entity
Predicate legalSystem P605 FINISHED
Object Philippine civil litigation
Philippine civil litigation is the system of court procedures and rules governing the resolution of non-criminal disputes between private parties in the Philippines.
E2127190 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: Philippine civil litigation | Statement: [Rule 33 – Demurrer to Evidence, legalSystem, Philippine civil litigation]
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: Philippine civil litigation
Triple: [Rule 33 – Demurrer to Evidence, legalSystem, Philippine civil litigation]
Generated description
Philippine civil litigation is the system of court procedures and rules governing the resolution of non-criminal disputes between private parties in the Philippines.

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_69f76dd8b6948190aaa32b081816bd94 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c66345081909bed56b0b3686432 completed May 3, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d952626c8190815bd739bece1edb completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37dbe0bc08819098abe49336afbea6 completed June 21, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a37dc380e648190ae8c4c6b4e9dd28b completed June 21, 2026, 12:42 p.m.
Created at: May 3, 2026, 4:02 p.m.