Triple
T10830776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospital of St Cross |
E255611
|
entity |
| Predicate | wayfarersDoleConsistsOf |
P95964
|
FINISHED |
| Object | piece of bread |
—
|
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: piece of bread | Statement: [Hospital of St Cross, wayfarersDoleConsistsOf, piece of bread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wayfarersDoleConsistsOf Context triple: [Hospital of St Cross, wayfarersDoleConsistsOf, piece of bread]
-
A.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
-
B.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
C.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
D.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
E.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d744222288819093258b452569acab |
completed | April 9, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.