Triple
T14737988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilo-class submarine |
E346263
|
entity |
| Predicate | NATOReportingName |
P6062
|
FINISHED |
| Object | Kilo |
E1094672
|
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: Kilo | Statement: [Kilo-class submarine, NATOReportingName, Kilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilo Context triple: [Kilo-class submarine, NATOReportingName, Kilo]
-
A.
Kilo
chosen
Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
-
B.
Quintal
Quintal is a small commune in the Haute-Savoie department of southeastern France, situated near Annecy in the French Alps.
-
C.
Kilo Kish
Kilo Kish is an American singer, songwriter, and visual artist known for her experimental blend of R&B, electronic, and hip-hop influences and her collaborations within the alternative rap scene.
-
D.
Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
-
E.
Milles
Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb90378481909a3083680f11101c |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.