Triple
T475936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Narrow Gauge Railroad Museum |
E9060
|
entity |
| Predicate | heritageLineLength |
P266
|
FINISHED |
| Object | approximately 1.5 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 1.5 miles | Statement: [Maine Narrow Gauge Railroad Museum, heritageLineLength, approximately 1.5 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageLineLength Context triple: [Maine Narrow Gauge Railroad Museum, heritageLineLength, approximately 1.5 miles]
-
A.
heritageField
Indicates that there is an association between an entity and a specific field, domain, or area related to cultural or historical heritage.
-
B.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
C.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
E.
hasIconicLine
Indicates that an entity (such as a work or character) is associated with a particularly famous or memorable line of dialogue.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03b5e5081908ee3dba9d19a6871 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.