Triple

T4244595
Position Surface form Disambiguated ID Type / Status
Subject Angkor Wat E95497 entity
Predicate locatedNear P294 FINISHED
Object Siem Reap E424920 NE FINISHED

How this triple was built (2 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: Siem Reap | Statement: [Angkor Wat, locatedNear, Siem Reap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siem Reap
Context triple: [Angkor Wat, locatedNear, Siem Reap]
  • A. Siem Reap Province chosen
    Siem Reap Province is a northwestern region of Cambodia best known as the gateway to the ancient Khmer temple complex of Angkor, including the iconic Angkor Wat.
  • B. Meiktila
    Meiktila is a city in central Myanmar that served as a key strategic location during World War II, particularly in the Burma Campaign.
  • C. Battambang
    Battambang is a major city in northwestern Cambodia known for its well-preserved French colonial architecture, nearby ancient temples, and role as a cultural and agricultural hub.
  • D. Luang Prabang
    Luang Prabang is a historic city in northern Laos renowned for its well-preserved Buddhist temples, traditional architecture, and UNESCO World Heritage status.
  • E. Cambodunum
    Cambodunum was a major Roman settlement and administrative center in the province of Raetia, located near present-day Kempten in southern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8c42e88190b309a1ef7f6529ac completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77ce4d48190ba24e3ef8c9ceb8d completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.