Triple
T11334011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentagon of Brussels |
E268421
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Grand-Place |
E848138
|
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: Grand-Place | Statement: [Pentagon of Brussels, contains, Grand-Place]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand-Place Context triple: [Pentagon of Brussels, contains, Grand-Place]
-
A.
Grand-Place
Grand-Place is the central historic square of Lille, France, renowned for its ornate Flemish architecture and vibrant civic life.
-
B.
Grand Place
Grand Place is the large, historic central square of Arras, France, renowned for its Flemish-Baroque architecture and arcaded townhouses.
-
C.
Grand Place
chosen
Grand Place is the historic central square of Brussels, renowned for its ornate guildhalls and Town Hall and recognized as a UNESCO World Heritage Site.
-
D.
Plaza Saint-Hubert
Plaza Saint-Hubert is a historic, partially covered commercial street in Montreal known for its distinctive glass-canopy sidewalks and concentration of boutiques, bridal shops, and specialty stores.
-
E.
Place du Grand Sablon
Place du Grand Sablon is a historic square in Brussels renowned for its antique shops, art galleries, weekend markets, and elegant cafés and restaurants.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263cce588190a91f91cbdf023d5e |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.