Triple
T5298196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Quannapowitt |
E119906
|
entity |
| Predicate | perimeterLength |
P33371
|
FINISHED |
| Object | approximately 3.2 miles |
—
|
LITERAL 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: approximately 3.2 miles | Statement: [Lake Quannapowitt, perimeterLength, approximately 3.2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perimeterLength Context triple: [Lake Quannapowitt, perimeterLength, approximately 3.2 miles]
-
A.
perimeter
chosen
Indicates the total length around the boundary of a two-dimensional shape or region.
-
B.
perimeterRunningTrackLength
Indicates the length of a running track that follows the perimeter of a given area or facility.
-
C.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
D.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
E.
circumference
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
- F. None of above.
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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.