Triple
T23303295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CL Nagara |
E590363
|
entity |
| Predicate | hullNumber |
P3152
|
FINISHED |
| Object | CL Nagara |
—
|
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: CL Nagara | Statement: [CL Nagara, hullNumber, CL Nagara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CL Nagara Context triple: [CL Nagara, hullNumber, CL Nagara]
-
A.
CL Nagara
chosen
CL Nagara is a Japanese Nagara-class light cruiser that served in the Imperial Japanese Navy during the interwar period and World War II.
-
B.
Chepauk
Chepauk is a coastal neighborhood in central Chennai, India, known for the historic M. A. Chidambaram cricket stadium and its proximity to Marina Beach.
-
C.
Kempegowda Tower
Kempegowda Tower is a historic watchtower in Bengaluru, India, built by city founder Kempegowda as one of four boundary markers of the old town.
-
D.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
-
E.
Ulsoor
Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19724de488190ac8eb89253c8dd53 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:04 p.m.