Triple

T36659810
Position Surface form Disambiguated ID Type / Status
Subject C-3 Road E905088 entity
Predicate isPartOf P10 FINISHED
Object Manila Circumferential Road system
The Manila Circumferential Road system is a network of major arterial roads forming ring routes around Metro Manila to facilitate traffic flow and connectivity between its cities.
E2202962 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: Manila Circumferential Road system | Statement: [C-3 Road, isPartOf, Manila Circumferential Road system]
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: Manila Circumferential Road system
Triple: [C-3 Road, isPartOf, Manila Circumferential Road system]
Generated description
The Manila Circumferential Road system is a network of major arterial roads forming ring routes around Metro Manila to facilitate traffic flow and connectivity between its cities.

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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c77b118881908cad488643e61e8a completed May 3, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfac395448190b02067674d300646 completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3dff0e40288190ad49dd8ec53e5934 completed June 26, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a3e065928d08190aed619bf12cf596a completed June 26, 2026, 4:55 a.m.
Created at: May 3, 2026, 4:11 p.m.