Triple
T13485606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huys te Warmond |
E318491
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Warmond |
E318488
|
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: Warmond | Statement: [Huys te Warmond, locatedIn, Warmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warmond Context triple: [Huys te Warmond, locatedIn, Warmond]
-
A.
Warmond
chosen
Warmond is a village in the Dutch province of South Holland, known for its historic estates and lakeside setting popular for water sports and recreation.
-
B.
Urmond
Urmond is a village in the Dutch province of Limburg, situated along the Juliana Canal near the River Meuse.
-
C.
Pelasgus
Pelasgus is a figure in Greek mythology often regarded as an ancestral or eponymous hero of the Pelasgians, a pre-Hellenic people of ancient Greece.
-
D.
Crowley
Crowley is a surname most famously associated with Aleister Crowley, the English occultist, writer, and ceremonial magician.
-
E.
Crowley
Crowley is a suburban city located within the greater Dallas–Fort Worth metropolitan area in Texas.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.