Triple

T8096717
Position Surface form Disambiguated ID Type / Status
Subject Iran Daylight Time E189003 entity
Predicate observedInCity P4810 FINISHED
Object Arak E187909 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: Arak | Statement: [Iran Daylight Time, observedInCity, Arak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arak
Context triple: [Iran Daylight Time, observedInCity, Arak]
  • A. Arak chosen
    Arak is a major industrial city in central Iran known for its manufacturing sector and strategic economic importance.
  • B. Tushpa
    Tushpa was the ancient fortified city on the eastern shore of Lake Van that served as the political and cultural center of the Kingdom of Urartu in the early first millennium BCE.
  • C. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • D. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • E. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6414ca048190ac0e644b2c399bfb completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.