Triple
T7117048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitbread PLC |
E165845
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Table Table |
E642200
|
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: Table Table | Statement: [Whitbread PLC, hasBrand, Table Table]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Table Table Context triple: [Whitbread PLC, hasBrand, Table Table]
-
A.
Table Table
chosen
Table Table is a UK-based casual dining pub-restaurant chain known for serving classic British comfort food, often located alongside Premier Inn hotels.
-
B.
tabla
The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
-
C.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
-
D.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
E.
Table 19
Table 19 is a 2017 American comedy film about a group of mismatched guests seated together at the "random" table at a wedding reception, starring Anna Kendrick.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32870e481909472f8fcd2501289 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:43 p.m.