Triple
T6675294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line Islands |
E151834
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tabuaeran
Tabuaeran, also known as Fanning Island, is a low-lying coral atoll in the central Pacific Ocean that is part of the Republic of Kiribati.
|
E612340
|
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: Tabuaeran | Statement: [Line Islands, hasPart, Tabuaeran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabuaeran Context triple: [Line Islands, hasPart, Tabuaeran]
-
A.
Aranzazu
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
-
B.
Tarauru-Roa
Tarauru-Roa is one of the islands in the remote Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
C.
Lataguri
Lataguri is a small town in West Bengal, India, known as a popular gateway and tourist base for visiting Gorumara National Park and nearby forest reserves.
-
D.
Tupungatito
Tupungatito is an active stratovolcano in the central Andes on the Chile–Argentina border, known as one of the southernmost historically active volcanoes in the region.
-
E.
Itaboraí
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
- 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: Tabuaeran Triple: [Line Islands, hasPart, Tabuaeran]
Generated description
Tabuaeran, also known as Fanning Island, is a low-lying coral atoll in the central Pacific Ocean that is part of the Republic of Kiribati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabuaeran Target entity description: Tabuaeran, also known as Fanning Island, is a low-lying coral atoll in the central Pacific Ocean that is part of the Republic of Kiribati.
-
A.
Aranzazu
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
-
B.
Tarauru-Roa
Tarauru-Roa is one of the islands in the remote Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
C.
Lataguri
Lataguri is a small town in West Bengal, India, known as a popular gateway and tourist base for visiting Gorumara National Park and nearby forest reserves.
-
D.
Tupungatito
Tupungatito is an active stratovolcano in the central Andes on the Chile–Argentina border, known as one of the southernmost historically active volcanoes in the region.
-
E.
Itaboraí
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f3021481908c2599349eb6ea07 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a30b7481908c36ff9035f62731 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6faa22e748190ab7a06ef84d695f6 |
completed | March 27, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fb85632081908bbb66ea35ce97c8 |
completed | March 27, 2026, 9:49 p.m. |
Created at: March 27, 2026, 2:03 p.m.