Triple
T2963187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haarlem |
E80096
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Grote Markt |
E162242
|
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: Grote Markt | Statement: [Haarlem, knownFor, Grote Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grote Markt Context triple: [Haarlem, knownFor, Grote Markt]
-
A.
Grote Markt
chosen
Grote Markt is the historic central market square of Haarlem in the Netherlands, known for its medieval architecture and prominent civic and religious buildings.
-
B.
Grote Markt
Grote Markt is the historic central square of Antwerp, Belgium, renowned for its ornate guildhalls, Brabo Fountain, and the Renaissance-style city hall.
-
C.
Grand Place / Grote Markt
Grand Place / Grote Markt is the ornate central square of Brussels, renowned for its opulent guildhalls, Town Hall, and status as a UNESCO World Heritage site.
-
D.
Leidseplein
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
-
E.
Albert Cuypmarkt
Albert Cuypmarkt is a famous open-air street market in Amsterdam known for its wide variety of fresh produce, street food, and everyday goods.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9957602c819089b673966fd619e0 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc98d94481908282d21394dc24a7 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.