Triple
T6158911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet of Guam |
E137390
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hagåtña |
E46332
|
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: Hagåtña | Statement: [Cabinet of Guam, locatedIn, Hagåtña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagåtña Context triple: [Cabinet of Guam, locatedIn, Hagåtña]
-
A.
Hagåtña, Guam
chosen
Hagåtña, Guam is the small coastal capital city of the U.S. territory of Guam, serving as its political and administrative center.
-
B.
Hagatna
Hagatna is the small coastal capital city of the U.S. territory of Guam, known for its historic sites and role as the island’s administrative center.
-
C.
Tumon Bay
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.
-
D.
Yigo, Guam
Yigo, Guam is a largely rural municipality on the northern end of Guam that hosts Andersen Air Force Base and is one of the island’s largest villages by area.
-
E.
Liloan
Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d32ef548190bc215d052d3497fe |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1419064a48190880005459c86322c |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.