Triple
T4444357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonouti |
E96244
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tabutoa
Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
|
E440703
|
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: Tabutoa | Statement: [Nonouti, hasSettlement, Tabutoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabutoa Context triple: [Nonouti, hasSettlement, Tabutoa]
-
A.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
B.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
C.
Thunder Mountain
Thunder Mountain is a prominent peak in California’s Sierra Nevada, known for its rugged alpine terrain and scenic views within Sequoia National Park.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Urup
Urup is a volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean, known for its rugged terrain and sparse human presence.
- 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: Tabutoa Triple: [Nonouti, hasSettlement, Tabutoa]
Generated description
Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabutoa Target entity description: Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
-
A.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
B.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
C.
Thunder Mountain
Thunder Mountain is a prominent peak in California’s Sierra Nevada, known for its rugged alpine terrain and scenic views within Sequoia National Park.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Urup
Urup is a volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean, known for its rugged terrain and sparse human presence.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61382d00481908b7c84f337b5cad7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6177d1a588190991fddf506239d22 |
completed | March 15, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b61b6bc1448190b30d444a821bb1a5 |
completed | March 15, 2026, 2:37 a.m. |
Created at: March 12, 2026, 11:32 p.m.