Triple
T16592239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckland, Massachusetts |
E403116
|
entity |
| Predicate | averageElevationFeet |
P55629
|
FINISHED |
| Object | about 820 |
—
|
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: about 820 | Statement: [Buckland, Massachusetts, averageElevationFeet, about 820]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageElevationFeet Context triple: [Buckland, Massachusetts, averageElevationFeet, about 820]
-
A.
hasAverageElevation
Indicates that an entity is characterized by a specific mean height above a defined reference level, typically sea level.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
campElevation
Indicates the elevation or height above sea level at which a camp is located.
-
D.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
E.
elevationFeetApproximate
chosen
Indicates the approximate elevation of an entity above sea level, measured in feet.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a123e8819095cd73cd848a3345 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.