Triple
T1514768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro network |
E32093
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Isolatorweg depot
Isolatorweg depot is a maintenance and stabling facility serving the Amsterdam Metro system in the Netherlands.
|
E172722
|
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: Isolatorweg depot | Statement: [Amsterdam Metro network, hasDepot, Isolatorweg depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isolatorweg depot Context triple: [Amsterdam Metro network, hasDepot, Isolatorweg depot]
-
A.
Gaasperplas depot
Gaasperplas depot is a maintenance and storage facility for Amsterdam Metro trains serving the eastern Gaasperplas line.
-
B.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
E.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
- 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: Isolatorweg depot Triple: [Amsterdam Metro network, hasDepot, Isolatorweg depot]
Generated description
Isolatorweg depot is a maintenance and stabling facility serving the Amsterdam Metro system in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isolatorweg depot Target entity description: Isolatorweg depot is a maintenance and stabling facility serving the Amsterdam Metro system in the Netherlands.
-
A.
Gaasperplas depot
Gaasperplas depot is a maintenance and storage facility for Amsterdam Metro trains serving the eastern Gaasperplas line.
-
B.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
E.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad23429f1c81909f435030de687675 |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad24acd82481908b052cecb555b213 |
completed | March 8, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad254d930c81908932aa76640121ba |
completed | March 8, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:26 p.m.