Triple

T17154572
Position Surface form Disambiguated ID Type / Status
Subject Hawar Islands E416310 entity
Predicate hasIsland P970 FINISHED
Object Rubud Al Gharbiyah
Rubud Al Gharbiyah is one of the small islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
E1252877 NE FINISHED

How this triple was built (4 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: Rubud Al Gharbiyah | Statement: [Hawar Islands, hasIsland, Rubud Al Gharbiyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubud Al Gharbiyah
Context triple: [Hawar Islands, hasIsland, Rubud Al Gharbiyah]
  • A. Shubak al-Gharbi
    Shubak al-Gharbi is a locality in Egypt known as the birthplace of prominent Arab diplomat and politician Abdul Rahman Azzam, the first Secretary-General of the Arab League.
  • B. Tarabulus al-Gharb
    Tarabulus al-Gharb is the Arabic name for Tripoli, the capital and largest city of Libya on the Mediterranean coast.
  • C. Tahaggart
    Tahaggart is a regional variety of the Tuareg Berber language Tamasheq, spoken by Tuareg communities in parts of the central Sahara.
  • D. Al Tarf
    Al Tarf is a bright giant star in the constellation Cancer, designated as Beta Cancri and visible to the naked eye.
  • E. Al Tarf
    Al Tarf is a traditional name for Gamma Cancri, a star in the constellation Cancer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rubud Al Gharbiyah
Triple: [Hawar Islands, hasIsland, Rubud Al Gharbiyah]
Generated description
Rubud Al Gharbiyah is one of the small islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rubud Al Gharbiyah
Target entity description: Rubud Al Gharbiyah is one of the small islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
  • A. Shubak al-Gharbi
    Shubak al-Gharbi is a locality in Egypt known as the birthplace of prominent Arab diplomat and politician Abdul Rahman Azzam, the first Secretary-General of the Arab League.
  • B. Tarabulus al-Gharb
    Tarabulus al-Gharb is the Arabic name for Tripoli, the capital and largest city of Libya on the Mediterranean coast.
  • C. Tahaggart
    Tahaggart is a regional variety of the Tuareg Berber language Tamasheq, spoken by Tuareg communities in parts of the central Sahara.
  • D. Al Tarf
    Al Tarf is a bright giant star in the constellation Cancer, designated as Beta Cancri and visible to the naked eye.
  • E. Al Tarf
    Al Tarf is a traditional name for Gamma Cancri, a star in the constellation Cancer.
  • F. None of above. chosen

Provenance (5 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40a6b7c8190838e588c4fd81d95 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415f3cd481908e96ca294cf3b247 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:37 a.m.