Triple
T780838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiribati |
E16491
|
entity |
| Predicate | hasAtoll |
P970
|
FINISHED |
| Object |
Abemama
Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
|
E93413
|
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: Abemama | Statement: [Kiribati, hasAtoll, Abemama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abemama Context triple: [Kiribati, hasAtoll, Abemama]
-
A.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
B.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
-
C.
Nana
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
D.
Ijesha
Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
-
E.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
- 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: Abemama Triple: [Kiribati, hasAtoll, Abemama]
Generated description
Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abemama Target entity description: Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
-
A.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
B.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
-
C.
Nana
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
D.
Ijesha
Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
-
E.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a751ea3481908a622d5255249883 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6787ccafc8190a8d31089f906404b |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a678e7922881909fb8044658ce7865 |
completed | March 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6794a539081908964bbcb2ad04391 |
completed | March 3, 2026, 6:01 a.m. |
Created at: March 1, 2026, 7:37 p.m.