Triple

T3340288
Position Surface form Disambiguated ID Type / Status
Subject Villa Cisneros E70240 entity
Predicate bay P15975 FINISHED
Object Dakhla Bay E349792 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: Dakhla Bay | Statement: [Villa Cisneros, bay, Dakhla Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakhla Bay
Context triple: [Villa Cisneros, bay, Dakhla Bay]
  • A. Dakhla chosen
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • B. Dakhla Oasis
    Dakhla Oasis is a fertile, historically significant oasis in Egypt’s Western Desert known for its ancient settlements, archaeological sites, and date palm cultivation.
  • C. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • D. Ras al-Amud
    Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
  • E. Ras al-Ghar
    Ras al-Ghar is a key coastal military installation in Saudi Arabia that serves as one of the principal bases for the Royal Saudi Naval Forces.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bf1f648190993ac8e9dda60983 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb819688190bb6198ac43f48449 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:12 p.m.