Triple
T27159179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Terp |
E682610
|
entity |
| Predicate | isLocalStopOn |
P144940
|
FINISHED |
| Object | Rotterdam Metro network |
—
|
NE NERFINISHED |
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: Rotterdam Metro network | Statement: [De Terp, isLocalStopOn, Rotterdam Metro network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocalStopOn Context triple: [De Terp, isLocalStopOn, Rotterdam Metro network]
-
A.
isLocalStopFor
chosen
Indicates that a particular stop or station serves as a stopping point for a local (non-express) service or route.
-
B.
hasStopNear
Indicates that one entity has a stop or stopping point located in close proximity to another entity.
-
C.
isLocalOn
Indicates that something resides or operates on a specific local device, system, or node rather than remotely.
-
D.
isPassengerStop
Indicates that a location serves as a designated place where passengers may board or alight from a vehicle or transport service.
-
E.
isSmallStop
Indicates that something functions as a minor or less significant stop within a route, sequence, or process.
- F. None of above.
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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 9:17 a.m.