Triple
T13417989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pago Pago urban area |
E313262
|
entity |
| Predicate | hasCentralLocality |
P41403
|
FINISHED |
| Object |
Mapusaga
Mapusaga is a locality within the Pago Pago urban area in American Samoa, known primarily as a residential and community center on Tutuila Island.
|
E1038286
|
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: Mapusaga | Statement: [Pago Pago urban area, hasCentralLocality, Mapusaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mapusaga Context triple: [Pago Pago urban area, hasCentralLocality, Mapusaga]
-
A.
Mapah
Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
-
B.
Wallmapu
Wallmapu is the ancestral homeland of the Mapuche people, encompassing their traditional territories across parts of present-day Chile and Argentina.
-
C.
Maap
Maap is one of the islands in the Yap archipelago of the Federated States of Micronesia, known for its traditional culture and Pacific island environment.
-
D.
Mapumai
Mapumai is a small village settlement on the island of Atiu in the Cook Islands.
-
E.
Mapanas
Mapanas is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and Pacific shoreline.
- 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: Mapusaga Triple: [Pago Pago urban area, hasCentralLocality, Mapusaga]
Generated description
Mapusaga is a locality within the Pago Pago urban area in American Samoa, known primarily as a residential and community center on Tutuila Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mapusaga Target entity description: Mapusaga is a locality within the Pago Pago urban area in American Samoa, known primarily as a residential and community center on Tutuila Island.
-
A.
Mapah
Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
-
B.
Wallmapu
Wallmapu is the ancestral homeland of the Mapuche people, encompassing their traditional territories across parts of present-day Chile and Argentina.
-
C.
Maap
Maap is one of the islands in the Yap archipelago of the Federated States of Micronesia, known for its traditional culture and Pacific island environment.
-
D.
Mapumai
Mapumai is a small village settlement on the island of Atiu in the Cook Islands.
-
E.
Mapanas
Mapanas is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and Pacific shoreline.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.