Triple
T4434238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-Town |
E95607
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | L-town |
E95607
|
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: L-town | Statement: [L-Town, hasSpellingVariant, L-town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L-town Context triple: [L-Town, hasSpellingVariant, L-town]
-
A.
L-Town
chosen
L-Town is a colloquial nickname for Lansing, the capital city of the U.S. state of Michigan.
-
B.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
C.
Streeterville
Streeterville is a vibrant neighborhood on Chicago’s Near North Side known for its lakefront attractions, high-rise buildings, and major cultural and tourist destinations.
-
D.
Howtown
Howtown is a small, picturesque hamlet in England’s Lake District, situated on the eastern shore of Ullswater and known as a starting point for lakeside walks and fell hikes.
-
E.
Boystown
Boystown is a prominent LGBTQ+ neighborhood in Chicago known for its vibrant nightlife, community events, and cultural significance.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628002e208190a68c659abd348040 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:31 p.m.