Triple
T38429503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoovers |
E903758
|
entity |
| Predicate | someUnits |
P190871
|
FINISHED |
| Object | preserved on heritage railways |
—
|
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: preserved on heritage railways | Statement: [Hoovers, someUnits, preserved on heritage railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someUnits Context triple: [Hoovers, someUnits, preserved on heritage railways]
-
A.
listedUnit
Indicates that an entity is specified or recorded as a particular unit in a list or catalog.
-
B.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
C.
someUnitsConvertedTo
Indicates that a quantity expressed in one unit of measurement has been transformed into an equivalent quantity expressed in another unit.
-
D.
supportUnits
Indicates that one entity provides assistance, resources, or reinforcement to another entity, often in an operational or functional context.
-
E.
numberOfUnitsCommanded
Indicates the quantity of units that an entity is in command of within a given context.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.