Triple
T10257660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spaarne |
E240514
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object |
Wittebrug
Wittebrug is a bridge spanning the Spaarne River in the Dutch city of Haarlem.
|
E854544
|
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: Wittebrug | Statement: [Spaarne, hasBridge, Wittebrug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittebrug Context triple: [Spaarne, hasBridge, Wittebrug]
-
A.
Willemsbrug
Willemsbrug is a prominent red steel cable-stayed bridge in Rotterdam, Netherlands, spanning the Nieuwe Maas and connecting the city’s northern and southern banks.
-
B.
Geeuwenbrug
Geeuwenbrug is a small village in the Dutch province of Drenthe, situated within the municipality of Westerveld.
-
C.
Prinses Irenebrug
Prinses Irenebrug is a bridge in the Netherlands named after Princess Irene, serving as an important crossing over the Amsterdam–Rhine Canal.
-
D.
Veerse Gatdam
Veerse Gatdam is a Dutch dam and causeway that forms part of the Delta Works coastal defense system, separating the Veerse Meer lagoon from the North Sea.
-
E.
Schoterbrug
Schoterbrug is a bridge spanning the Spaarne River in Haarlem, Netherlands, serving as an important local traffic connection.
- 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: Wittebrug Triple: [Spaarne, hasBridge, Wittebrug]
Generated description
Wittebrug is a bridge spanning the Spaarne River in the Dutch city of Haarlem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wittebrug Target entity description: Wittebrug is a bridge spanning the Spaarne River in the Dutch city of Haarlem.
-
A.
Willemsbrug
Willemsbrug is a prominent red steel cable-stayed bridge in Rotterdam, Netherlands, spanning the Nieuwe Maas and connecting the city’s northern and southern banks.
-
B.
Geeuwenbrug
Geeuwenbrug is a small village in the Dutch province of Drenthe, situated within the municipality of Westerveld.
-
C.
Prinses Irenebrug
Prinses Irenebrug is a bridge in the Netherlands named after Princess Irene, serving as an important crossing over the Amsterdam–Rhine Canal.
-
D.
Veerse Gatdam
Veerse Gatdam is a Dutch dam and causeway that forms part of the Delta Works coastal defense system, separating the Veerse Meer lagoon from the North Sea.
-
E.
Schoterbrug
Schoterbrug is a bridge spanning the Spaarne River in Haarlem, Netherlands, serving as an important local traffic connection.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cdcdf8c81909f5a2be1c3aa03a0 |
completed | April 9, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69d71f76e3cc8190b21a5fe8825caa2b |
completed | April 9, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7319938ec8190a4a1a5f09832e3e3 |
completed | April 9, 2026, 4:56 a.m. |
Created at: April 6, 2026, 11:31 a.m.