Triple
T37522972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Royal Sovereign (1786) |
E932828
|
entity |
| Predicate | locationDuringTrafalgar |
P46887
|
FINISHED |
| Object | off Cape Trafalgar, Spain |
—
|
LITERAL 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: off Cape Trafalgar, Spain | Statement: [HMS Royal Sovereign (1786), locationDuringTrafalgar, off Cape Trafalgar, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationDuringTrafalgar Context triple: [HMS Royal Sovereign (1786), locationDuringTrafalgar, off Cape Trafalgar, Spain]
-
A.
locatedInBritishCountry
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
B.
historicalLocationOf
chosen
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
-
C.
locatedInHarbourArea
Indicates that something is situated within the geographic or administrative boundaries of a harbour area.
-
D.
timeLocatedIn
Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
-
E.
locationDuringCruise
Indicates that an entity’s location is specified for the duration of a cruise or while a cruise is taking place.
- F. None of above.
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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.