Triple
T3191165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apia |
E66825
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Apia Harbour |
E66825
|
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: Apia Harbour | Statement: [Apia, hasPort, Apia Harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apia Harbour Context triple: [Apia, hasPort, Apia Harbour]
-
A.
Apia
chosen
Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
-
B.
Tulagi
Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
-
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.
Tassafaronga
Tassafaronga is a coastal area on the northwestern shore of Guadalcanal in the Solomon Islands, known primarily as the site of a major World War II naval engagement.
-
E.
Nukuʻalofa
Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e7d0d081908b1c36bb909a58bf |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24ba19b2881908a298e6fb99a058e |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.