Triple
T11446136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Drive |
E271268
|
entity |
| Predicate | connects |
P390
|
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: [Marine Corps Drive, connects, Hagåtña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagåtña Context triple: [Marine Corps Drive, connects, 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.
Piti, Guam
Piti, Guam is a coastal village on the western shore of Guam known for its proximity to Apra Harbor and its role as a residential and port-adjacent community.
-
C.
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.
-
D.
Santa Rita, Guam
Santa Rita is a small village on the western coast of Guam, known for its proximity to Apra Harbor and its strong ties to the island’s U.S. military installations.
-
E.
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.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3bdafb08190aadf5d63facfedaf |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.