Triple

T35096042
Position Surface form Disambiguated ID Type / Status
Subject Municipal Trial Courts E1012869 entity
Predicate hasType P0 FINISHED
Object Municipal Circuit Trial Court
A Municipal Circuit Trial Court is a first-level court in the Philippine judiciary that handles minor civil and criminal cases within two or more municipalities grouped into a single judicial circuit.
E2131828 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: Municipal Circuit Trial Court | Statement: [Municipal Trial Courts, hasType, Municipal Circuit Trial Court]
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: Municipal Circuit Trial Court
Triple: [Municipal Trial Courts, hasType, Municipal Circuit Trial Court]
Generated description
A Municipal Circuit Trial Court is a first-level court in the Philippine judiciary that handles minor civil and criminal cases within two or more municipalities grouped into a single judicial circuit.

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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78be4531081909bad0aca0f94390a completed May 3, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3803f488848190b47c302117c24f82 completed June 21, 2026, 3:32 p.m.
NEDg Description generation batch_6a38050d990481908a57019cf588daa7 completed June 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a380598bfd48190a3d7d541ff5d5cde completed June 21, 2026, 3:39 p.m.
Created at: May 3, 2026, 4:01 p.m.