Triple
T1533879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulton Chain of Lakes |
E32506
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | First Lake |
E333556
|
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: First Lake | Statement: [Fulton Chain of Lakes, hasPart, First Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First Lake Context triple: [Fulton Chain of Lakes, hasPart, First Lake]
-
A.
First Lake
chosen
First Lake is a scenic Adirondack lake in Old Forge, New York, popular for boating, fishing, and tourism.
-
B.
Fourth Lake
Fourth Lake is a popular recreational lake in the central Adirondack region of New York, known for boating, fishing, and scenic mountain surroundings.
-
C.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
D.
Fifth Lake
Fifth Lake is a scenic freshwater lake in the Town of Webb in New York’s Adirondack region, known for outdoor recreation such as boating and fishing.
-
E.
Upper Lake
Upper Lake is an ornamental body of water within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f8df00819086f34847e2170e12 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba28fb88190823f5c7c0492f6f8 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 4, 2026, 7:26 p.m.