Triple
T18583539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plein (square in The Hague) |
E454179
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Hofplaats
Hofplaats is a historic square in the center of The Hague, Netherlands, situated by the Binnenhof and often associated with national political life.
|
E1332826
|
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: Hofplaats | Statement: [Plein (square in The Hague), near, Hofplaats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofplaats Context triple: [Plein (square in The Hague), near, Hofplaats]
-
A.
Troonplein
Troonplein is a prominent square in Brussels, Belgium, located near key government buildings and the Royal Palace.
-
B.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
C.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
D.
Janskerkhof
Janskerkhof is a historic square in the center of Utrecht, Netherlands, known for its weekly flower market and proximity to the former St. John's Church.
-
E.
Weesperplein
Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
- 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: Hofplaats Triple: [Plein (square in The Hague), near, Hofplaats]
Generated description
Hofplaats is a historic square in the center of The Hague, Netherlands, situated by the Binnenhof and often associated with national political life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hofplaats Target entity description: Hofplaats is a historic square in the center of The Hague, Netherlands, situated by the Binnenhof and often associated with national political life.
-
A.
Troonplein
Troonplein is a prominent square in Brussels, Belgium, located near key government buildings and the Royal Palace.
-
B.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
C.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
D.
Janskerkhof
Janskerkhof is a historic square in the center of Utrecht, Netherlands, known for its weekly flower market and proximity to the former St. John's Church.
-
E.
Weesperplein
Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05037ae9708190afa199491cb93343 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050463219c819093970be896e35c45 |
completed | May 13, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0504b40c24819084716616794ca920 |
completed | May 13, 2026, 11:09 p.m. |
Created at: April 10, 2026, 11:44 a.m.