Triple

T10177765
Position Surface form Disambiguated ID Type / Status
Subject Sikaiana E235896 entity
Predicate hasSettlement P1068 FINISHED
Object Namo
Namo is a small settlement on the remote Polynesian outlier atoll of Sikaiana in the Solomon Islands.
E844863 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: Namo | Statement: [Sikaiana, hasSettlement, Namo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namo
Context triple: [Sikaiana, hasSettlement, Namo]
  • A. Namu
    Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
  • B. Amida
    Amida was the ancient name of the city now known as Diyarbakır, a historically significant fortified settlement in southeastern Anatolia.
  • C. Naam Ghosa
    Naam Ghosa is a revered Assamese Vaishnavite devotional text composed by the saint-poet Madhavdev, primarily consisting of verses in praise of Lord Krishna.
  • D. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • E. Te Namo
    Te Namo is the large central lagoon of Funafuti Atoll in Tuvalu, known for its shallow turquoise waters and surrounding coral islets.
  • 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: Namo
Triple: [Sikaiana, hasSettlement, Namo]
Generated description
Namo is a small settlement on the remote Polynesian outlier atoll of Sikaiana in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Namo
Target entity description: Namo is a small settlement on the remote Polynesian outlier atoll of Sikaiana in the Solomon Islands.
  • A. Namu
    Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
  • B. Amida
    Amida was the ancient name of the city now known as Diyarbakır, a historically significant fortified settlement in southeastern Anatolia.
  • C. Naam Ghosa
    Naam Ghosa is a revered Assamese Vaishnavite devotional text composed by the saint-poet Madhavdev, primarily consisting of verses in praise of Lord Krishna.
  • D. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • E. Te Namo
    Te Namo is the large central lagoon of Funafuti Atoll in Tuvalu, known for its shallow turquoise waters and surrounding coral islets.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd4e3188190aa5d9ee95595f4a7 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3012d11488190a410d389034da887 completed April 6, 2026, 12:41 a.m.
NEDg Description generation batch_69d30256ee40819098569b37eb27d3d1 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d302d248e08190b6b7bae9343b6f9a completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:11 p.m.