Triple
T16597574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister's office (Torentje) |
E403248
|
entity |
| Predicate | hasDutchName |
P744
|
FINISHED |
| Object | het Torentje |
E189318
|
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: het Torentje | Statement: [Prime Minister's office (Torentje), hasDutchName, het Torentje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: het Torentje Context triple: [Prime Minister's office (Torentje), hasDutchName, het Torentje]
-
A.
Torentje
Torentje is the small historic tower in The Hague that serves as the Dutch Prime Minister’s official office.
-
B.
Het Torentje
chosen
Het Torentje is the small historic tower in The Hague that serves as the official office of the Prime Minister of the Netherlands.
-
C.
Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
-
D.
Tengster
Tengster is an alternative name for Taktser, a village in the Amdo region of northeastern Tibet best known as the birthplace of the 14th Dalai Lama.
-
E.
Torensluis
Torensluis is one of Amsterdam’s oldest and widest stone bridges, notable for its historic architecture and remnants of a former tower and prison cells.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d7367308190bf57b4a6a7bd33cc |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a226788190bfad73ffb6b32ec4 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.