Triple

T19032886
Position Surface form Disambiguated ID Type / Status
Subject Indian Ocean islands E465789 entity
Predicate hasPart P35 FINISHED
Object Socotra NE NERFINISHED

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: Socotra | Statement: [Indian Ocean islands, hasPart, Socotra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socotra
Context triple: [Indian Ocean islands, hasPart, Socotra]
  • A. Socotra chosen
    Socotra is a remote Yemeni island renowned for its unique biodiversity and otherworldly landscapes, including the iconic dragon’s blood trees.
  • B. Socotri
    Socotri is a Modern South Arabian Semitic language spoken primarily on the island of Socotra in Yemen.
  • C. Robert Island
    Robert Island is one of the remote, ice-covered islands of the South Shetland archipelago off the northern tip of the Antarctic Peninsula.
  • D. Robert Island
    Robert Island is a small, disputed island within the Paracel Islands archipelago in the South China Sea, known for its strategic location and contested sovereignty.
  • E. Sehel Island
    Sehel Island is a Nile island near Aswan in southern Egypt, known for its numerous ancient Egyptian rock inscriptions and archaeological significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d741cabc8190900e12265ad269f8 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.