Triple
T19974162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Ciotat |
E493643
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Singen |
—
|
NE NERFINISHED |
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: Singen | Statement: [La Ciotat, hasTwinTown, Singen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singen Context triple: [La Ciotat, hasTwinTown, Singen]
-
A.
Singen
chosen
Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
-
B.
The Sing
"The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
-
C.
Sing It!
Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
-
D.
Sing
"Sing" is an anthemic rock song by My Chemical Romance known for its uplifting message about using one’s voice to inspire change.
-
E.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
Created at: April 11, 2026, 3:23 p.m.