Triple

T24242079
Position Surface form Disambiguated ID Type / Status
Subject SEPTA Zone 5 E603256 entity
Predicate hasHigherZone P41507 FINISHED
Object SEPTA Zone 6
SEPTA Zone 6 is one of the outer fare zones in the SEPTA Regional Rail system, covering some of the longest-distance suburban and exurban stations from central Philadelphia.
 E1628653 NE FINISHED

How this triple was built (3 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: SEPTA Zone 6 | Statement: [SEPTA Zone 5, hasHigherZone, SEPTA Zone 6]
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: SEPTA Zone 6
Triple: [SEPTA Zone 5, hasHigherZone, SEPTA Zone 6]
Generated description
SEPTA Zone 6 is one of the outer fare zones in the SEPTA Regional Rail system, covering some of the longest-distance suburban and exurban stations from central Philadelphia.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasHigherZone
Context triple: [SEPTA Zone 5, hasHigherZone, SEPTA Zone 6]
  • A. hasHigherLevelRegion
    Indicates that one region is geographically or administratively contained within and subordinate to a larger, higher-level region.
  • B. hasZone
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • C. hasHigherElevationArea
    Indicates that one area is situated at a greater elevation above sea level than another area.
  • D. higherZonesContribution
    Indicates that one entity contributes more or plays a greater role in higher zones or levels than another entity.
  • E. hasUpperTier chosen
    Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
  • F. None of above.

Provenance (6 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_69e2953f631c819097cbb421046bd417 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28aa04fe08190922d6abde695571a completed April 29, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9b65b788190867246665dded500 completed May 22, 2026, 3:12 a.m.
NEDg Description generation batch_6a0fcccff9e88190a98d2037d4e781fc completed May 22, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcd80ae2c81909ab307688454443b completed May 22, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69f1c448abec8190b87cbf9ed419a309 completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:03 a.m.