Triple

T9842231
Position Surface form Disambiguated ID Type / Status
Subject Pyay E239253 entity
Predicate formerName P65 FINISHED
Object Prome
Prome is the former name of Pyay, a historic river port city in central Myanmar known for its proximity to the ancient Pyu ruins of Sri Ksetra.
 E825386 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: Prome | Statement: [Pyay, formerName, Prome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prome
Context triple: [Pyay, formerName, Prome]
  • A. Phaestis
    Phaestis is known in some ancient biographical traditions as the mother of the Greek philosopher Aristotle.
  • B. Pármeno
    Pármeno is a loyal yet conflicted servant in the Spanish tragicomedy "La Celestina," whose shifting allegiances and moral struggles play a key role in the unfolding tragedy.
  • C. Peristeri
    Peristeri is a densely populated suburban municipality of Athens, Greece, known as one of the largest and most vibrant districts in the Athens metropolitan area.
  • D. Agiasos
    Agiasos is a traditional mountain village on the Greek island of Lesbos, known for its preserved architecture, religious pilgrimage sites, and rich folk culture.
  • E. Olympe
    Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
  • 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: Prome
Triple: [Pyay, formerName, Prome]
Generated description
Prome is the former name of Pyay, a historic river port city in central Myanmar known for its proximity to the ancient Pyu ruins of Sri Ksetra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prome
Target entity description: Prome is the former name of Pyay, a historic river port city in central Myanmar known for its proximity to the ancient Pyu ruins of Sri Ksetra.
  • A. Phaestis
    Phaestis is known in some ancient biographical traditions as the mother of the Greek philosopher Aristotle.
  • B. Pármeno
    Pármeno is a loyal yet conflicted servant in the Spanish tragicomedy "La Celestina," whose shifting allegiances and moral struggles play a key role in the unfolding tragedy.
  • C. Peristeri
    Peristeri is a densely populated suburban municipality of Athens, Greece, known as one of the largest and most vibrant districts in the Athens metropolitan area.
  • D. Agiasos
    Agiasos is a traditional mountain village on the Greek island of Lesbos, known for its preserved architecture, religious pilgrimage sites, and rich folk culture.
  • E. Olympe
    Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d74e7a148190a9470745bfd7ad42 completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:33 p.m.