Triple
T1514769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro network |
E32093
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object | Gaasperplas depot |
E165426
|
NE FINISHED |
How this triple was built (2 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: Gaasperplas depot | Statement: [Amsterdam Metro network, hasDepot, Gaasperplas depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaasperplas depot Context triple: [Amsterdam Metro network, hasDepot, Gaasperplas depot]
-
A.
Gaasperplas depot
chosen
Gaasperplas depot is a maintenance and storage facility for Amsterdam Metro trains serving the eastern Gaasperplas line.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
D.
Stationsplein
Stationsplein is the main square in front of Amsterdam Centraal Station, serving as a busy hub for trams, buses, taxis, cyclists, and pedestrians entering the city center.
-
E.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 4, 2026, 7:26 p.m.