Triple
T14168367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Nell |
E351138
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Queen station |
E70821
|
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: Queen station | Statement: [Our Nell, location, Queen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen station Context triple: [Our Nell, location, Queen station]
-
A.
Queen station
chosen
Queen station is a downtown Toronto subway station on Line 1 Yonge–University, located beneath Queen Street at Yonge Street and serving the city’s central shopping and commercial district.
-
B.
King station
King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
-
C.
Catedral station
Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
-
D.
Stoa Station
Stoa Station is a railway stop in Arendal, Norway, serving local traffic on the Arendal Line.
-
E.
King Street–Old Town station
King Street–Old Town station is a Washington Metro rail station in Alexandria, Virginia, serving the historic Old Town area and nearby Amtrak and VRE services.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2804956c81909409fba998a87866 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1 a.m.