Triple

T33522787
Position Surface form Disambiguated ID Type / Status
Subject 5th & Missouri station E858551 entity
Predicate fareZone P844 FINISHED
Object Illinois MetroLink zone
The Illinois MetroLink zone is the fare region covering MetroLink light rail stations located on the Illinois side of the St. Louis metropolitan area.
E2055313 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: Illinois MetroLink zone | Statement: [5th & Missouri station, fareZone, Illinois MetroLink zone]
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: Illinois MetroLink zone
Triple: [5th & Missouri station, fareZone, Illinois MetroLink zone]
Generated description
The Illinois MetroLink zone is the fare region covering MetroLink light rail stations located on the Illinois side of the St. Louis metropolitan area.

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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f69c6f2481908e4bcff4bd135b0f completed May 3, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a679397881908eeeb6b1b67719ec completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a6e0c54c8190ad13408c355543ab completed June 19, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7e144548190908e3e6ddf96362a completed June 19, 2026, 8:34 p.m.
Created at: May 1, 2026, 1:39 a.m.