Triple
T10400140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh Highland Railway |
E245123
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Dinas depot
Dinas depot is a maintenance and storage facility serving the Welsh Highland Railway in North Wales.
|
E861155
|
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: Dinas depot | Statement: [Welsh Highland Railway, hasDepot, Dinas depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinas depot Context triple: [Welsh Highland Railway, hasDepot, Dinas depot]
-
A.
Pajura depot
Pajura depot is a maintenance and storage facility serving the Bucharest Metro system in Romania.
-
B.
Ansim Depot
Ansim Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Militari depot
Militari depot is a major maintenance and storage facility serving the Bucharest Metro system in Bucharest, Romania.
-
E.
Caolu Depot
Caolu Depot is a maintenance and storage facility serving Shanghai Metro’s Line 9 in the Pudong area.
- 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: Dinas depot Triple: [Welsh Highland Railway, hasDepot, Dinas depot]
Generated description
Dinas depot is a maintenance and storage facility serving the Welsh Highland Railway in North Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dinas depot Target entity description: Dinas depot is a maintenance and storage facility serving the Welsh Highland Railway in North Wales.
-
A.
Pajura depot
Pajura depot is a maintenance and storage facility serving the Bucharest Metro system in Romania.
-
B.
Ansim Depot
Ansim Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Militari depot
Militari depot is a major maintenance and storage facility serving the Bucharest Metro system in Bucharest, Romania.
-
E.
Caolu Depot
Caolu Depot is a maintenance and storage facility serving Shanghai Metro’s Line 9 in the Pudong area.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d2e8488190b2bb8f8509903804 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbc759a08190be677bf5458af0c8 |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d81c40dc6081908cc186ee6cd0814e |
completed | April 9, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8277fbf0881908a1e16d6c07886e6 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 6, 2026, 12:07 p.m.