Triple

T18089222
Position Surface form Disambiguated ID Type / Status
Subject Tanauan E432921 entity
Predicate locatedInTimeZone P109 FINISHED
Object Asia/Manila NE NERFINISHED

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: Asia/Manila | Statement: [Tanauan, locatedInTimeZone, Asia/Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Manila
Context triple: [Tanauan, locatedInTimeZone, Asia/Manila]
  • A. Philippine Standard Time chosen
    Philippine Standard Time is the official time zone of the Philippines, observed as UTC+8 without daylight saving time.
  • B. Pacific/Palau
    Pacific/Palau is the IANA time zone identifier representing the standard time observed throughout the island nation of Palau in the western Pacific Ocean.
  • C. Asia/Aden
    Asia/Aden is an IANA time zone identifier representing the standard time observed in Aden, Yemen, within the Asia region.
  • D. Asia/Omsk
    Asia/Omsk is the IANA time zone identifier representing the standard time observed in the Omsk region of Russia.
  • E. Manila, Philippine Islands
    Manila, Philippine Islands is the capital and chief city of the Philippines, serving as its historic, political, and economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd16e2148190a63cc981898e8ade completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.