Triple

T25773237
Position Surface form Disambiguated ID Type / Status
Subject Philippine expressway network E649076 entity
Predicate hasComponent P35 FINISHED
Object C-5 Southlink Expressway
The C-5 Southlink Expressway is a toll expressway in Metro Manila, Philippines, designed to connect the C-5 corridor with major southern routes and improve traffic flow between key urban and suburban areas.
 E1697921 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: C-5 Southlink Expressway | Statement: [Philippine expressway network, hasComponent, C-5 Southlink Expressway]
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: C-5 Southlink Expressway
Triple: [Philippine expressway network, hasComponent, C-5 Southlink Expressway]
Generated description
The C-5 Southlink Expressway is a toll expressway in Metro Manila, Philippines, designed to connect the C-5 corridor with major southern routes and improve traffic flow between key urban and suburban areas.

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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe5b23ac81908ff1b6f06911f45b completed May 2, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da0d004481909c8bc88b86126684 completed May 22, 2026, 10:34 p.m.
NEDg Description generation batch_6a10db36562c8190823f00ae5794c05d completed May 22, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_6a10dc2096b881909e87c9cc277bc831 completed May 22, 2026, 10:43 p.m.
Created at: April 22, 2026, 5:31 a.m.