Triple
T8010352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haʻapai |
E186472
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Tungua
Tungua is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Polynesian village life and surrounding coral reefs.
|
E709137
|
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: Tungua | Statement: [Haʻapai, hasIsland, Tungua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungua Context triple: [Haʻapai, hasIsland, Tungua]
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tongolo
"Tongolo" is the breakthrough Afrobeat single by Nigerian artist D'banj that helped launch his music career across Africa.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
E.
Tillangchong
Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
- 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: Tungua Triple: [Haʻapai, hasIsland, Tungua]
Generated description
Tungua is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Polynesian village life and surrounding coral reefs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tungua Target entity description: Tungua is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Polynesian village life and surrounding coral reefs.
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tongolo
"Tongolo" is the breakthrough Afrobeat single by Nigerian artist D'banj that helped launch his music career across Africa.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
E.
Tillangchong
Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c1f76881909ad6d7777090f2e2 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:19 p.m.