Triple
T20691308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lau Islands |
E508556
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Namuka-i-Lau
Namuka-i-Lau is a small inhabited island in Fiji’s remote Lau archipelago, known for its traditional villages, fringing reefs, and relatively untouched natural environment.
|
E1445378
|
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: Namuka-i-Lau | Statement: [Lau Islands, hasIsland, Namuka-i-Lau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namuka-i-Lau Context triple: [Lau Islands, hasIsland, Namuka-i-Lau]
-
A.
Taulaga
Taulaga is the small principal village and only significant settlement on Swains Island in American Samoa.
-
B.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
C.
Laka of Lau
Laka of Lau is a Central Sudanic language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
D.
Namunukula
Namunukula is a prominent mountain peak in Sri Lanka’s Uva Province, known for its scenic views and significance to the surrounding hill country.
-
E.
Malamulele
Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
- 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: Namuka-i-Lau Triple: [Lau Islands, hasIsland, Namuka-i-Lau]
Generated description
Namuka-i-Lau is a small inhabited island in Fiji’s remote Lau archipelago, known for its traditional villages, fringing reefs, and relatively untouched natural environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namuka-i-Lau Target entity description: Namuka-i-Lau is a small inhabited island in Fiji’s remote Lau archipelago, known for its traditional villages, fringing reefs, and relatively untouched natural environment.
-
A.
Taulaga
Taulaga is the small principal village and only significant settlement on Swains Island in American Samoa.
-
B.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
C.
Laka of Lau
Laka of Lau is a Central Sudanic language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
D.
Namunukula
Namunukula is a prominent mountain peak in Sri Lanka’s Uva Province, known for its scenic views and significance to the surrounding hill country.
-
E.
Malamulele
Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10d83548190a52b9ef84c8f9205 |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e43a3c81909f63e63e30e9c435 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d91216bc8190909e0e37f6d5e612 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:08 p.m.