Triple
T2690335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Alaska |
E57585
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Knik Arm |
E291233
|
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: Knik Arm | Statement: [Port of Alaska, locatedIn, Knik Arm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knik Arm Context triple: [Port of Alaska, locatedIn, Knik Arm]
-
A.
Knik Arm
chosen
Knik Arm is a tidal inlet and branch of Cook Inlet in southcentral Alaska, known for its strong tidal currents, mudflats, and proximity to Anchorage.
-
B.
Klyden
Klyden is a Moclan character from the science fiction TV series "The Orville," known as Bortus's conservative and often contentious mate.
-
C.
Chignik
Chignik is a small fishing community located on the remote Alaska Peninsula, known for its salmon fisheries and rugged coastal environment.
-
D.
Turnagain Arm
Turnagain Arm is a dramatic, narrow inlet off Alaska’s Cook Inlet known for its extreme tides, bore tides, and surrounding mountain scenery.
-
E.
Nantua
Nantua is a small town in eastern France known for its picturesque lake and surrounding Jura Mountains scenery.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb67c04a88190bc1145397a5c4eee |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.