Triple

T16702153
Position Surface form Disambiguated ID Type / Status
Subject Pawna Lake E405878 entity
Predicate viewOf P854 FINISHED
Object Tung Fort E1204709 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: Tung Fort | Statement: [Pawna Lake, viewOf, Tung Fort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tung Fort
Context triple: [Pawna Lake, viewOf, Tung Fort]
  • A. Tung Fort chosen
    Tung Fort is a hill fort in Maharashtra, India, known for its steep, conical peak and panoramic views over the Pawna Lake region.
  • B. Seringapatam Fort
    Seringapatam Fort is a historic stronghold in present-day Karnataka, India, renowned as the capital and military base of Tipu Sultan and the site of several key Anglo-Mysore Wars.
  • C. Anping Fort
    Anping Fort is a historic Dutch-built fortress in Tainan, Taiwan, that served as a key colonial stronghold and trading post in the 17th century.
  • D. Mahakan Fort
    Mahakan Fort is a historic defensive stronghold in Bangkok, Thailand, built during the early Rattanakosin period as part of the city's original fortifications.
  • E. Senji Fort
    Senji Fort is a historic hilltop fortress in Tamil Nadu, India, known for its strategic location, ancient architecture, and role in regional military history.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.