Triple
T24224206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Pipe |
E601545
|
entity |
| Predicate | operatedTrainingYardAt |
P155258
|
FINISHED |
| Object | Pond House Stables, Nicholashayne |
—
|
NE NERFINISHED |
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: Pond House Stables, Nicholashayne | Statement: [Martin Pipe, operatedTrainingYardAt, Pond House Stables, Nicholashayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTrainingYardAt Context triple: [Martin Pipe, operatedTrainingYardAt, Pond House Stables, Nicholashayne]
-
A.
hasRailYard
Indicates that one entity possesses, contains, or includes a rail yard as part of its facilities or infrastructure.
-
B.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
C.
operatedOnRailroad
Indicates that an entity conducted operations or provided services on a railroad system.
-
D.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
E.
operatedCarriageWorksAt
Indicates that a person or organization managed and ran the operations of a carriage works at a particular location or during a specific period.
- F. None of above. chosen
Provenance (4 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, midnight