Triple
T4669110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikunau |
E102918
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tabomatang
Tabomatang is a village settlement on the island of Nikunau in the Republic of Kiribati.
|
E461371
|
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: Tabomatang | Statement: [Nikunau, hasSettlement, Tabomatang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabomatang Context triple: [Nikunau, hasSettlement, Tabomatang]
-
A.
Tabonibara
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tabuaço
Tabuaço is a Portuguese municipality in the Douro region, known for its terraced vineyards and production of Port and Douro wines.
-
C.
Taboiaki
Taboiaki is a village settlement on the atoll of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
-
D.
Tabuelan
Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
-
E.
Tan Tan Bo
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
- 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: Tabomatang Triple: [Nikunau, hasSettlement, Tabomatang]
Generated description
Tabomatang is a village settlement on the island of Nikunau in the Republic of Kiribati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabomatang Target entity description: Tabomatang is a village settlement on the island of Nikunau in the Republic of Kiribati.
-
A.
Tabonibara
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tabuaço
Tabuaço is a Portuguese municipality in the Douro region, known for its terraced vineyards and production of Port and Douro wines.
-
C.
Taboiaki
Taboiaki is a village settlement on the atoll of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
-
D.
Tabuelan
Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
-
E.
Tan Tan Bo
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6340ce548190bd436c59f28227d7 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be038c89f88190aad42cb6974bec2c |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be04ad843c8190b3c8dfa4a46e727b |
completed | March 21, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be0529868c8190b20e8966315b263a |
completed | March 21, 2026, 2:40 a.m. |
Created at: March 20, 2026, 1:15 p.m.