Triple
T19169659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crewe–Shrewsbury line |
E469284
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Prees
Prees is a village and civil parish in Shropshire, England, with a rural character and a local railway station on the Crewe–Shrewsbury line.
|
E1361570
|
NE FINISHED |
How this triple was built (4 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: Prees | Statement: [Crewe–Shrewsbury line, serves, Prees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prees Context triple: [Crewe–Shrewsbury line, serves, Prees]
-
A.
Preed
Preed is a treacherous, smooth-talking alien navigator and secondary antagonist from the animated science fiction film "Titan A.E."
-
B.
Prenteg
Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
-
C.
Prezan
Prezan is a Romanian surname most notably associated with General Constantin Prezan, a key military leader during World War I.
-
D.
Prez
Prez is the famous nickname of American jazz tenor saxophonist Lester Young, a pioneering figure in the swing era known for his smooth, lyrical playing style.
-
E.
Prejmer
Prejmer is a commune in central Romania renowned for its well-preserved fortified church, a UNESCO World Heritage Site.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Prees Triple: [Crewe–Shrewsbury line, serves, Prees]
Generated description
Prees is a village and civil parish in Shropshire, England, with a rural character and a local railway station on the Crewe–Shrewsbury line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prees Target entity description: Prees is a village and civil parish in Shropshire, England, with a rural character and a local railway station on the Crewe–Shrewsbury line.
-
A.
Preed
Preed is a treacherous, smooth-talking alien navigator and secondary antagonist from the animated science fiction film "Titan A.E."
-
B.
Prenteg
Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
-
C.
Prezan
Prezan is a Romanian surname most notably associated with General Constantin Prezan, a key military leader during World War I.
-
D.
Prez
Prez is the famous nickname of American jazz tenor saxophonist Lester Young, a pioneering figure in the swing era known for his smooth, lyrical playing style.
-
E.
Prejmer
Prejmer is a commune in central Romania renowned for its well-preserved fortified church, a UNESCO World Heritage Site.
- F. None of above. chosen
Provenance (5 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f2639f188190aa87c1b31b5dcb7b |
completed | May 15, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a06f338f504819081daeef10e629afd |
completed | May 15, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.