Triple
T25983310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iver Heath |
E646127
|
entity |
| Predicate | transportByRailFrom |
P71547
|
FINISHED |
| Object |
Iver railway station
Iver railway station is a suburban railway station in Buckinghamshire, England, serving the village of Iver and surrounding areas on the Great Western Main Line and the Elizabeth line.
|
E1703215
|
NE FINISHED |
How this triple was built (3 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: Iver railway station | Statement: [Iver Heath, transportByRailFrom, Iver railway station]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Iver railway station Triple: [Iver Heath, transportByRailFrom, Iver railway station]
Generated description
Iver railway station is a suburban railway station in Buckinghamshire, England, serving the village of Iver and surrounding areas on the Great Western Main Line and the Elizabeth line.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportByRailFrom Context triple: [Iver Heath, transportByRailFrom, Iver railway station]
-
A.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
B.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
C.
isPassengerRail
Indicates that something functions as or is classified as a passenger rail service or system, primarily used to transport people rather than freight.
-
D.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
E.
hasPassengerRailConnection
chosen
Indicates that there exists a passenger rail service linking one location or transport node to another.
- F. None of above.
Provenance (6 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11078ff24481908ee159fa05d6397d |
completed | May 23, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_6a11085043a08190b86f770075f609c1 |
completed | May 23, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a110925bec881908c0bdb63355e4e31 |
completed | May 23, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 22, 2026, 8:54 a.m.