Triple

T25330796
Position Surface form Disambiguated ID Type / Status
Subject East–West corridor – Green Line E635144 entity
Predicate alsoKnownAs P39 FINISHED
Object East–West Metro corridor
The East–West Metro corridor is a rapid transit line commonly referred to as the Green Line, forming a key east–west mass transit route in its metropolitan rail network.
 E1679683 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: East–West Metro corridor | Statement: [East–West corridor – Green Line, alsoKnownAs, East–West Metro corridor]
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: East–West Metro corridor
Triple: [East–West corridor – Green Line, alsoKnownAs, East–West Metro corridor]
Generated description
The East–West Metro corridor is a rapid transit line commonly referred to as the Green Line, forming a key east–west mass transit route in its metropolitan rail network.

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_69e75a9908108190a95427a97020632a completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f497c5f86c81908cf1ce29669bafbe completed May 1, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a108979f6608190b037b78f078f727a completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a6600608190a719b3772ea40377 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b5689008190b0b1cc1ae06f2ae6 completed May 22, 2026, 4:59 p.m.
Created at: April 21, 2026, 1:30 p.m.