Triple
T9715841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Conqueror |
E235139
|
entity |
| Predicate | hullNumber |
P3152
|
FINISHED |
| Object | S48 |
E815952
|
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: S48 | Statement: [HMS Conqueror, hullNumber, S48]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S48 Context triple: [HMS Conqueror, hullNumber, S48]
-
A.
S48
chosen
S48 is the pennant number of HMS Conqueror, a British Royal Navy nuclear-powered fleet submarine best known for sinking the Argentine cruiser General Belgrano during the Falklands War.
-
B.
S46
S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
-
C.
S44
S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
-
D.
S47
S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
-
E.
S45
S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af9d6f148190b157cc7a0f91b387 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:20 p.m.