Triple
T12429463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Guam |
E296987
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Upper Tumon |
E159625
|
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: Upper Tumon | Statement: [Northern Guam, containsSettlement, Upper Tumon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper Tumon Context triple: [Northern Guam, containsSettlement, Upper Tumon]
-
A.
Tumon Bay
chosen
Tumon Bay is a popular resort and tourism district on the western coast of Guam, known for its white-sand beaches, clear waters, and concentration of hotels, shops, and nightlife.
-
B.
Midsayap
Midsayap is a first-class agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
C.
Liloan
Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
-
D.
Liloan
Liloan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and scenic seaside landscapes.
-
E.
Tafuna
Tafuna is a major suburban and commercial area on the island of Tutuila in American Samoa, known for its population density and proximity to the territory’s main airport.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ddc688190bddb242d67fa6e89 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349b075c8190b77cd51bc45be8ef |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.