Triple
T5370118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantes tramway |
E108825
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Dalby depot
Dalby depot is a maintenance and storage facility serving the tram network in Nantes, France.
|
E515730
|
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: Dalby depot | Statement: [Nantes tramway, hasDepot, Dalby depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalby depot Context triple: [Nantes tramway, hasDepot, Dalby depot]
-
A.
Northfields depot
Northfields depot is a London Underground maintenance and stabling facility serving trains on the Piccadilly line in west London.
-
B.
Neasden Depot
Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
-
C.
Barking depot
Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
-
D.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
- 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: Dalby depot Triple: [Nantes tramway, hasDepot, Dalby depot]
Generated description
Dalby depot is a maintenance and storage facility serving the tram network in Nantes, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalby depot Target entity description: Dalby depot is a maintenance and storage facility serving the tram network in Nantes, France.
-
A.
Northfields depot
Northfields depot is a London Underground maintenance and stabling facility serving trains on the Piccadilly line in west London.
-
B.
Neasden Depot
Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
-
C.
Barking depot
Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
-
D.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29307cc481908fa4d8b52711bbd4 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29d11d2c819095ce493c8866f624 |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2aa2a1688190bc41eb5e259d7d1f |
completed | March 21, 2026, 11:32 p.m. |
Created at: March 20, 2026, 2:02 p.m.