Triple
T16254944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Lance |
E394603
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Long Lance |
E394603
|
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: Long Lance | Statement: [Long Lance, hasNickname, Long Lance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Lance Context triple: [Long Lance, hasNickname, Long Lance]
-
A.
Long Lance
chosen
Long Lance is the Allied nickname for Japan’s Type 93 torpedo, a highly advanced and powerful World War II naval weapon renowned for its exceptional range and destructive capability.
-
B.
Paris Gun
The Paris Gun was a long-range German artillery piece used in World War I to bombard Paris from unprecedented distances.
-
C.
The Cannon
The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
-
D.
Kanonen
Kanonen is a manga series by Eiji Ōtsuka and Kamui Fujiwara that blends military action with supernatural elements, serving as a precursor to their later work Valkyria.
-
E.
Haynrode
Haynrode is a small village in the German state of Thuringia.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24599861881908b9235f005d80a96 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee9bc4c8190bb7e54ed2ad162b3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.