Triple

T21259223
Position Surface form Disambiguated ID Type / Status
Subject Plano East Senior High School E523952 entity
Predicate shortName P43 FINISHED
Object PESH
PESH is the commonly used acronym for Plano East Senior High School, a large public high school in Plano, Texas.
E1475311 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: PESH | Statement: [Plano East Senior High School, shortName, PESH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PESH
Context triple: [Plano East Senior High School, shortName, PESH]
  • A. PECHS
    PECHS (Pakistan Employees Cooperative Housing Society) is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and central urban location.
  • B. Peshev
    Peshev is a Bulgarian surname most notably associated with Dimităr Peshev, a politician recognized for his role in preventing the deportation of Bulgarian Jews during World War II.
  • C. Pš
    Pš is the standard scholarly abbreviation for the Peshitta, the authoritative Syriac version of the Bible used in several Eastern Christian traditions.
  • D. PSE
    PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
  • E. PSE
    PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
  • 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: PESH
Triple: [Plano East Senior High School, shortName, PESH]
Generated description
PESH is the commonly used acronym for Plano East Senior High School, a large public high school in Plano, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PESH
Target entity description: PESH is the commonly used acronym for Plano East Senior High School, a large public high school in Plano, Texas.
  • A. PECHS
    PECHS (Pakistan Employees Cooperative Housing Society) is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and central urban location.
  • B. Peshev
    Peshev is a Bulgarian surname most notably associated with Dimităr Peshev, a politician recognized for his role in preventing the deportation of Bulgarian Jews during World War II.
  • C. Pš
    Pš is the standard scholarly abbreviation for the Peshitta, the authoritative Syriac version of the Bible used in several Eastern Christian traditions.
  • D. PSE
    PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
  • E. PSE
    PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e53df88190bd6024793a0ada08 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ffc53b08190b3d6ed00c7d104d6 completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0991b637288190912b5557826b2a9b completed May 17, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a0992aa17408190bef9b0f1477d3e1f completed May 17, 2026, 10:04 a.m.
Created at: April 16, 2026, 3:59 p.m.