Triple

T580503
Position Surface form Disambiguated ID Type / Status
Subject Dirachmaceae E15045 entity
Predicate nativeTo P410 FINISHED
Object Socotra E58400 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: Socotra | Statement: [Dirachmaceae, nativeTo, Socotra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socotra
Context triple: [Dirachmaceae, nativeTo, 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. 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.
  • C. Madagascar
    Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
  • D. Qeshm Island
    Qeshm Island is the largest island in the Persian Gulf, known for its strategic location, unique geological formations, and diverse ecosystems off the southern coast of Iran.
  • E. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b82b5248190ac863407e8207a3b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6373fbf388190afb01fcfd67f03bf completed March 3, 2026, 1:19 a.m.
Created at: March 1, 2026, 7:33 p.m.