Triple
T35715574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hdb |
E1031993
|
entity |
| Predicate | locationStationName |
P8935
|
FINISHED |
| Object | Heemstede-Aerdenhout |
—
|
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: Heemstede-Aerdenhout | Statement: [Hdb, locationStationName, Heemstede-Aerdenhout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationStationName Context triple: [Hdb, locationStationName, Heemstede-Aerdenhout]
-
A.
nearbyStationName
Indicates that the predicate specifies the name of a station that is geographically close to a given reference point or entity.
-
B.
stationName
chosen
Indicates the name assigned to a particular station in the relationship.
-
C.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
D.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
E.
stationNumber
Indicates the specific station identifier or code assigned to an entity within a system or network.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.