Triple
T11542230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undercity |
E273699
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Brill |
E298261
|
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: Brill | Statement: [Undercity, connectedTo, Brill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brill Context triple: [Undercity, connectedTo, Brill]
-
A.
Brill
Brill is a surname of Dutch and German origin borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
Brill
chosen
Brill was a rural terminus village in Buckinghamshire, England, once served by a remote branch of the Metropolitan Railway.
-
C.
Van Nostrand
Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
-
D.
Querido Verlag
Querido Verlag is a renowned Dutch publishing house, historically significant for publishing works by exiled German-speaking authors during the Nazi era.
-
E.
Verlag des Bibliographischen Instituts
Verlag des Bibliographischen Instituts was a German publishing house best known for its encyclopedias, reference works, and scientifically oriented illustrated books.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685bbb0cc8190b60a1eea13a3b423 |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.