Triple

T25773232
Position Surface form Disambiguated ID Type / Status
Subject Philippine expressway network E649076 entity
Predicate hasComponent P35 FINISHED
Object Central Luzon Link Expressway
The Central Luzon Link Expressway is a major toll road in the Philippines that connects key provinces in Central Luzon to improve regional mobility and support economic development.
E1738306 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: Central Luzon Link Expressway | Statement: [Philippine expressway network, hasComponent, Central Luzon Link 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: Central Luzon Link Expressway
Triple: [Philippine expressway network, hasComponent, Central Luzon Link Expressway]
Generated description
The Central Luzon Link Expressway is a major toll road in the Philippines that connects key provinces in Central Luzon to improve regional mobility and support economic development.

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_6a11fe449f6881909fd44c32aa09131d completed May 23, 2026, 7:21 p.m.
NEDg Description generation batch_6a11fef3277c81909157e7d7caa3245b completed May 23, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a11fffd6b1081909ed36e05ffdaed73 completed May 23, 2026, 7:29 p.m.
Created at: April 22, 2026, 5:31 a.m.