Triple

T8548621
Position Surface form Disambiguated ID Type / Status
Subject Mayondon E202387 entity
Predicate locatedInTimeZone P109 FINISHED
Object Asia/Manila E90012 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: Asia/Manila | Statement: [Mayondon, locatedInTimeZone, Asia/Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Manila
Context triple: [Mayondon, 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/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • D. Asia/Yakutsk
    Asia/Yakutsk is the IANA time zone identifier representing Yakutsk Time, used in the Yakutsk region of Russia.
  • E. Manila
    Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe7529b648190b4b1cf1cb8836546 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc1bb5481909ddd3af564c24c0c completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.