Triple
T9738384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Su-11 |
E236123
|
entity |
| Predicate | natoReportingName |
P6062
|
FINISHED |
| Object | Fishpot-C |
E815732
|
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: Fishpot-C | Statement: [Su-11, natoReportingName, Fishpot-C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fishpot-C Context triple: [Su-11, natoReportingName, Fishpot-C]
-
A.
Fishpot
chosen
Fishpot is the NATO reporting name for the Soviet-era Sukhoi Su-9 supersonic interceptor aircraft developed during the Cold War.
-
B.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
C.
Fishnish
Fishnish is a small ferry port on the Isle of Mull in Scotland, serving as a key vehicle and passenger link across the Sound of Mull.
-
D.
Beaucoup Fish
Beaucoup Fish is a critically acclaimed 1999 electronic music album by British group Underworld, known for its innovative fusion of techno, house, and ambient styles.
-
E.
Fishburn
Fishburn is a village in County Durham, England, situated within the Sedgefield area.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef2ba048190811d6f4251fdb270 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe0dab48190832ab77265c09d70 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:22 p.m.