Triple
T276509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawmut |
E5260
|
entity |
| Predicate | formerRailroadUse |
P2417
|
FINISHED |
| Object | Old Colony Railroad right-of-way |
—
|
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: Old Colony Railroad right-of-way | Statement: [Shawmut, formerRailroadUse, Old Colony Railroad right-of-way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRailroadUse Context triple: [Shawmut, formerRailroadUse, Old Colony Railroad right-of-way]
-
A.
servedByRailroad
Indicates that a location or facility is provided with transportation or service by a railroad line or company.
-
B.
railroadClass
Indicates the classification or category of a railroad according to an established system (e.g., by size, revenue, or regulatory status).
-
C.
railroadEngineeringFeature
Indicates a feature, element, or characteristic specifically related to the design, construction, or operation of railroad engineering systems.
-
D.
usesRailGauge
Indicates that one entity (typically a railway system or line) operates using the specified rail gauge measurement of the other entity.
-
E.
historicallyUsedFor
chosen
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.