Triple

T9461978
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Gandamak E228168 entity
Predicate cededTerritory P13709 FINISHED
Object Sibi E33029 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: Sibi | Statement: [Treaty of Gandamak, cededTerritory, Sibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibi
Context triple: [Treaty of Gandamak, cededTerritory, Sibi]
  • A. Sibi chosen
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • B. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • C. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • D. Sabya
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • E. Jibhi
    Jibhi is a scenic, offbeat village in Himachal Pradesh’s Tirthan Valley, known for its tranquil riverside setting, traditional wooden architecture, and popularity among nature lovers and backpackers.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcc8b1881908aa6ee13ab195330 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.