Triple
T13447611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagasa Bay |
E320523
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Fagasa |
E82889
|
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: Fagasa | Statement: [Fagasa Bay, hasNearbySettlement, Fagasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fagasa Context triple: [Fagasa Bay, hasNearbySettlement, Fagasa]
-
A.
Fagasa
chosen
Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
-
B.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
C.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
D.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
-
E.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462340548190b156a8213f5e2556 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.