Triple

T17218397
Position Surface form Disambiguated ID Type / Status
Subject Kaled E417909 entity
Predicate conflictWith P4897 FINISHED
Object Thal E299016 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: Thal | Statement: [Kaled, conflictWith, Thal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thal
Context triple: [Kaled, conflictWith, Thal]
  • A. Thal
    Thal is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near Lake Constance and known for its scenic landscape and wine-growing tradition.
  • B. Thal chosen
    Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
  • C. Thal
    Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
  • D. Thall
    Thall is a town in Pakistan’s Khyber Pakhtunkhwa province, located near the Kurram River and serving as a gateway to the Kurram tribal region.
  • E. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddb2b148190b3b50572cc285e3d completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170eb9954819085e8c078cf137dc5 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.