Triple

T12050820
Position Surface form Disambiguated ID Type / Status
Subject Placentia-Yorba Linda Unified School District E286908 entity
Predicate abbreviation P43 FINISHED
Object PYLUSD
PYLUSD is a public school district serving the communities of Placentia and Yorba Linda in Orange County, California.
 E961966 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: PYLUSD | Statement: [Placentia-Yorba Linda Unified School District, abbreviation, PYLUSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PYLUSD
Context triple: [Placentia-Yorba Linda Unified School District, abbreviation, PYLUSD]
  • A. Pyli
    Pyli is a town in central Greece known as a gateway to the Pindus mountains and the wider Trikala region.
  • B. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • C. PYD
    The PYD (Democratic Union Party) is a dominant Kurdish-led political party in northern Syria closely linked to the PKK and central to the governance and military structures of the region commonly known as Rojava.
  • D. PY
    PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • E. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • 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: PYLUSD
Triple: [Placentia-Yorba Linda Unified School District, abbreviation, PYLUSD]
Generated description
PYLUSD is a public school district serving the communities of Placentia and Yorba Linda in Orange County, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PYLUSD
Target entity description: PYLUSD is a public school district serving the communities of Placentia and Yorba Linda in Orange County, California.
  • A. Pyli
    Pyli is a town in central Greece known as a gateway to the Pindus mountains and the wider Trikala region.
  • B. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • C. PYD
    The PYD (Democratic Union Party) is a dominant Kurdish-led political party in northern Syria closely linked to the PKK and central to the governance and military structures of the region commonly known as Rojava.
  • D. PY
    PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • E. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.