Triple
T33111338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German torpedo boat flotillas |
E847339
|
entity |
| Predicate | typicalTheater |
P206352
|
FINISHED |
| Object | North Sea |
E2599
|
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: North Sea | Statement: [German torpedo boat flotillas, typicalTheater, North Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTheater Context triple: [German torpedo boat flotillas, typicalTheater, North Sea]
-
A.
typicalTheatre
Indicates that something is characteristic of or commonly found in a theatre setting.
-
B.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
C.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
D.
theaterExperience
Indicates that an entity has experience or involvement in theater-related activities or performances.
-
E.
theatreCity
Indicates that a theatre is located in, or primarily associated with, a particular city.
- F. None of above. chosen
Provenance (5 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34f01a983481909b6c347dca8f981a |
completed | June 19, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:27 a.m.