Triple
T13417996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pago Pago urban area |
E313262
|
entity |
| Predicate | hasCentralLocality |
P41403
|
FINISHED |
| Object | Aasu |
E1036372
|
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: Aasu | Statement: [Pago Pago urban area, hasCentralLocality, Aasu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aasu Context triple: [Pago Pago urban area, hasCentralLocality, Aasu]
-
A.
Aasu
chosen
Aasu is a small village located on the island of Tutuila in American Samoa.
-
B.
Assu
Assu is a municipality in the Brazilian state of Rio Grande do Norte, known for its regional commerce and cultural traditions in the semi-arid Northeast.
-
C.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
-
D.
Assoro
Assoro is a historic hilltop town and comune in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
-
E.
Avusy
Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
- 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_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_69f73987cc088190839e8a589086639c |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:39 p.m.