Triple
T580596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binnenhof |
E15047
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Torentje |
E36378
|
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: Torentje | Statement: [Binnenhof, hasPart, Torentje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torentje Context triple: [Binnenhof, hasPart, Torentje]
-
A.
Torentje
chosen
Torentje is the small historic tower in The Hague that serves as the Dutch Prime Minister’s official office.
-
B.
Guthega
Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
-
C.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
D.
Giewont
Giewont is a prominent, cross-topped mountain massif in the Polish Tatra Mountains, famed as a national symbol and popular hiking destination overlooking the town of Zakopane.
-
E.
Trêveszaal
Trêveszaal is a historic meeting room in The Hague’s Binnenhof complex, traditionally used for Dutch government council meetings and important political deliberations.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5155210dc8190bad32b49703641e2 |
completed | March 2, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:33 p.m.