Triple

T6478977
Position Surface form Disambiguated ID Type / Status
Subject Grasmere E146140 entity
Predicate servedByBus P14525 FINISHED
Object S52
S52 is a bus service route that provides public transportation access to the village of Grasmere.
 E597429 NE FINISHED

How this triple was built (4 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: S52 | Statement: [Grasmere, servedByBus, S52]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S52
Context triple: [Grasmere, servedByBus, S52]
  • A. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • B. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • C. S59
    S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • D. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: S52
Triple: [Grasmere, servedByBus, S52]
Generated description
S52 is a bus service route that provides public transportation access to the village of Grasmere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S52
Target entity description: S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • A. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • B. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • C. S59
    S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • D. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • F. None of above. chosen

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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4d35f08190a94143367b1d45c5 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd4fd408190ac7505e5b562cd73 completed March 27, 2026, 10:45 a.m.
NEDg Description generation batch_69c6606466988190a9e063ed3c5ac249 completed March 27, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_69c660be61288190bf928c8ca9abd6a8 completed March 27, 2026, 10:49 a.m.
Created at: March 22, 2026, 4:51 p.m.