Triple

T23782855
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Hell Gate Line E587863 entity
Predicate alsoKnownAs P39 FINISHED
Object Hell Gate Line
The Hell Gate Line is a major electrified rail corridor in New York City and the Bronx used primarily by Amtrak to connect New England with Penn Station via the Hell Gate Bridge.
E61119 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: Hell Gate Line | Statement: [Amtrak Hell Gate Line, alsoKnownAs, Hell Gate Line]
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: Hell Gate Line
Triple: [Amtrak Hell Gate Line, alsoKnownAs, Hell Gate Line]
Generated description
The Hell Gate Line is a major electrified rail corridor in New York City and the Bronx used primarily by Amtrak to connect New England with Penn Station via the Hell Gate Bridge.

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_69e2490f4ad48190b690878eec3596c6 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1c62ea9c0819083544822267d3215 completed April 29, 2026, 8:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53e9b62c81908f82ae8ddcb56103 completed May 21, 2026, 6:50 p.m.
NEDg Description generation batch_6a0f57f957508190b2d5705854e5d989 completed May 21, 2026, 7:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0f5899cd648190b4cc234933e0acf6 completed May 21, 2026, 7:10 p.m.
Created at: April 17, 2026, 7:16 p.m.