Triple
T21507237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reports on the structure and conduct of major trusts |
E530626
|
entity |
| Predicate | describedCharacteristic |
P56672
|
FINISHED |
| Object | organization of large firms |
—
|
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: organization of large firms | Statement: [Reports on the structure and conduct of major trusts, describedCharacteristic, organization of large firms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedCharacteristic Context triple: [Reports on the structure and conduct of major trusts, describedCharacteristic, organization of large firms]
-
A.
describesCharacteristicOf
chosen
Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
-
B.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
-
D.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
E.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea7d8be881908ff8a58b8a6eff40 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:24 p.m.