Triple

T16194999
Position Surface form Disambiguated ID Type / Status
Subject El Cerrito Plaza station E393038 entity
Predicate hasCode P9567 FINISHED
Object ECPL
ECPL is the station code for El Cerrito Plaza, a Bay Area Rapid Transit (BART) station in El Cerrito, California.
 E1198561 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: ECPL | Statement: [El Cerrito Plaza station, hasCode, ECPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECPL
Context triple: [El Cerrito Plaza station, hasCode, ECPL]
  • A. ECPL
    ECPL is the acronym for the Eastern Cape Provincial Legislature, the legislative body governing South Africa’s Eastern Cape province.
  • B. ECPT
    ECPT is the commonly used abbreviation for the European Convention for the Prevention of Torture and Inhuman or Degrading Treatment or Punishment, a key Council of Europe treaty aimed at safeguarding individuals in detention.
  • C. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • D. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • E. ECP
    ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
  • 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: ECPL
Triple: [El Cerrito Plaza station, hasCode, ECPL]
Generated description
ECPL is the station code for El Cerrito Plaza, a Bay Area Rapid Transit (BART) station in El Cerrito, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECPL
Target entity description: ECPL is the station code for El Cerrito Plaza, a Bay Area Rapid Transit (BART) station in El Cerrito, California.
  • A. ECPL
    ECPL is the acronym for the Eastern Cape Provincial Legislature, the legislative body governing South Africa’s Eastern Cape province.
  • B. ECPT
    ECPT is the commonly used abbreviation for the European Convention for the Prevention of Torture and Inhuman or Degrading Treatment or Punishment, a key Council of Europe treaty aimed at safeguarding individuals in detention.
  • C. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • D. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • E. ECP
    ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d851188190b2452d165e4fc4bd completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0bfd08819083afc4bea1b99aad completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0001b815c481908ed6fcaea42ee9fc completed May 10, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0002106a5c8190b92d27f01178a321 completed May 10, 2026, 3:57 a.m.
Created at: April 10, 2026, 5:02 a.m.