Triple

T14589329
Position Surface form Disambiguated ID Type / Status
Subject Siege of Trichinopoly E342402 entity
Predicate location P40 FINISHED
Object Trichinopoly E30585 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: Trichinopoly | Statement: [Siege of Trichinopoly, location, Trichinopoly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trichinopoly
Context triple: [Siege of Trichinopoly, location, Trichinopoly]
  • A. Trichinopoly chosen
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • B. Tentyris
    Tentyris is the ancient Greek name for the Egyptian city of Dendera, renowned for its well-preserved temple complex dedicated primarily to the goddess Hathor.
  • C. Parchís
    Parchís was a popular Spanish children's music group from the late 1970s and 1980s known for their catchy songs and colorful, board-game-inspired image.
  • D. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • E. Ludo
    Ludo is a gentle, horned beast-like creature from the fantasy film "Labyrinth" who befriends Sarah and helps her navigate the Goblin King's maze.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.