Triple
T7070349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portage Glacier |
E164672
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Portage |
E447479
|
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: Portage | Statement: [Portage Glacier, hasNearbySettlement, Portage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portage Context triple: [Portage Glacier, hasNearbySettlement, Portage]
-
A.
Portage
Portage is Gentoo Linux’s highly configurable source-based package management system that automates compiling, installing, and updating software.
-
B.
Portage, Indiana
Portage, Indiana is a city in northwestern Indiana near Lake Michigan, known as a key industrial and transportation hub within the Chicago metropolitan area.
-
C.
Portage Valley
chosen
Portage Valley is a scenic glacial valley in Southcentral Alaska known for its dramatic mountain views, numerous glaciers, and outdoor recreation opportunities.
-
D.
Portage, Michigan
Portage, Michigan is a suburban city in southwestern Michigan known for its proximity to Kalamazoo, extensive park and trail systems, and strong manufacturing and pharmaceutical industries.
-
E.
Laporte
Laporte is a surname of French origin borne by various notable individuals across fields such as science, sports, and politics.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8a1d788190b9ad25d6e6c460f7 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:39 p.m.