Triple
T26775647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Bar Examination |
E670111
|
entity |
| Predicate | includesNationalComponent |
P194166
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Florida Bar Examination, includesNationalComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNationalComponent Context triple: [Florida Bar Examination, includesNationalComponent, true]
-
A.
nationalComponent
Indicates that one entity is a constituent part or subdivision within the national structure or system of another entity.
-
B.
hasComponentInCountry
Indicates that an entity has a component, part, or sub-unit that is located in a specified country.
-
C.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
D.
includesCountryPart
Indicates that one country or territorial entity contains, encompasses, or has within its boundaries a specific part or subdivision of a country.
-
E.
hasNationalStatus
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: April 27, 2026, 4:04 a.m.