Triple

T16978991
Position Surface form Disambiguated ID Type / Status
Subject La Paz, Tarlac E411890 entity
Predicate hasTimeZone P3413 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: [La Paz, Tarlac, hasTimeZone, Asia/Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Manila
Context triple: [La Paz, Tarlac, hasTimeZone, 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. Manila, Philippine Islands
    Manila, Philippine Islands is the capital and chief city of the Philippines, serving as its historic, political, and economic center.
  • E. Asia/Aqtobe
    Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.