Triple
T13417978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pago Pago urban area |
E313262
|
entity |
| Predicate | hasCentralLocality |
P41403
|
FINISHED |
| Object | Fagatogo |
E79486
|
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: Fagatogo | Statement: [Pago Pago urban area, hasCentralLocality, Fagatogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fagatogo Context triple: [Pago Pago urban area, hasCentralLocality, Fagatogo]
-
A.
Fagatogo
chosen
Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
-
B.
Higaonon
The Higaonon are an Indigenous Lumad group in Mindanao, Philippines, known for their upland farming, rich oral traditions, and strong customary laws tied to ancestral forest territories.
-
C.
Safotu
Safotu is a coastal village on the island of Savaiʻi in Samoa, known for its traditional Samoan culture and scenic beaches.
-
D.
Samaro
Samaro is a town in Pakistan’s Sindh province, situated within the Umerkot District.
-
E.
Tigoa
Tigoa is the main administrative and population center of Rennell and Bellona Province in the Solomon Islands.
- 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_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.