Triple
T9856025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crab Pot |
E239587
|
entity |
| Predicate | tableSetting |
P90916
|
FINISHED |
| Object | paper-covered tables |
—
|
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: paper-covered tables | Statement: [The Crab Pot, tableSetting, paper-covered tables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tableSetting Context triple: [The Crab Pot, tableSetting, paper-covered tables]
-
A.
tableType
Indicates the specific category or kind of table that an entity is classified as.
-
B.
cellConfiguration
Indicates how the internal components or structure of a cell are arranged or organized relative to one another.
-
C.
tableName
Indicates the name assigned to a database table that participates in the described relationship or operation.
-
D.
coversSetting
Indicates that one entity includes or addresses a particular setting or context within its scope.
-
E.
textColumns
Indicates that one entity defines or contains the columnar text layout or text columns used or referenced by another entity.
- F. None of above. chosen
Provenance (4 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39719288190adf45e7c029edd51 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:35 p.m.