Triple

T15434070
Position Surface form Disambiguated ID Type / Status
Subject Monon Railroad E369712 entity
Predicate abbreviation P43 FINISHED
Object CIL
CIL is the reporting mark used to identify the Monon Railroad, a historic Midwestern U.S. railroad line.
 E1155905 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: CIL | Statement: [Monon Railroad, abbreviation, CIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CIL
Context triple: [Monon Railroad, abbreviation, CIL]
  • A. CIL
    CIL is the standard scholarly abbreviation for the Corpus Inscriptionum Latinarum, the comprehensive collection of ancient Latin inscriptions.
  • B. CIL
    CIL is the abbreviation for the Committee on Import Licensing, a World Trade Organization body that oversees and reviews members’ import licensing procedures to ensure they are transparent and consistent with WTO rules.
  • C. CIL
    CIL is the low-level, platform-independent bytecode language used by the .NET framework to represent compiled programs before just-in-time compilation.
  • D. CIL I
    CIL I is the first volume of the Corpus Inscriptionum Latinarum, containing a foundational collection of early Latin inscriptions.
  • E. CIL V
    CIL V is a volume of the Corpus Inscriptionum Latinarum that publishes and catalogs Latin inscriptions from a specific geographic region of the Roman world.
  • 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: CIL
Triple: [Monon Railroad, abbreviation, CIL]
Generated description
CIL is the reporting mark used to identify the Monon Railroad, a historic Midwestern U.S. railroad line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIL
Target entity description: CIL is the reporting mark used to identify the Monon Railroad, a historic Midwestern U.S. railroad line.
  • A. CIL
    CIL is the standard scholarly abbreviation for the Corpus Inscriptionum Latinarum, the comprehensive collection of ancient Latin inscriptions.
  • B. CIL
    CIL is the abbreviation for the Committee on Import Licensing, a World Trade Organization body that oversees and reviews members’ import licensing procedures to ensure they are transparent and consistent with WTO rules.
  • C. CIL
    CIL is the low-level, platform-independent bytecode language used by the .NET framework to represent compiled programs before just-in-time compilation.
  • D. CIL I
    CIL I is the first volume of the Corpus Inscriptionum Latinarum, containing a foundational collection of early Latin inscriptions.
  • E. CIL V
    CIL V is a volume of the Corpus Inscriptionum Latinarum that publishes and catalogs Latin inscriptions from a specific geographic region of the Roman world.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eda01cc8190843e23b260b8503c completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a86474081908fe8e07783975201 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:21 a.m.