Triple
T2945319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagatogo |
E79486
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Pago Pago |
E7953
|
NE FINISHED |
How this triple was built (2 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: Pago Pago | Statement: [Fagatogo, adjacentTo, Pago Pago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pago Pago Context triple: [Fagatogo, adjacentTo, Pago Pago]
-
A.
Pago Pago
chosen
Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
-
B.
Pagumen
Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
-
C.
Solomon Islands dollar
The Solomon Islands dollar is the official currency of the Solomon Islands, used throughout the country for everyday transactions and issued by the Central Bank of Solomon Islands.
-
D.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
-
E.
Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b2752481908ec6f9a9cc24c0a7 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08692105c81908a3a146376b7417f |
completed | March 10, 2026, 9:01 p.m. |
Created at: March 8, 2026, 2:56 p.m.