Triple
T10813844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Bar of Texas |
E255172
|
entity |
| Predicate | barNumberIssuer |
P95890
|
FINISHED |
| Object | Texas attorneys |
—
|
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: Texas attorneys | Statement: [State Bar of Texas, barNumberIssuer, Texas attorneys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barNumberIssuer Context triple: [State Bar of Texas, barNumberIssuer, Texas attorneys]
-
A.
headquartersOfIssuer
Indicates the location that serves as the main headquarters of the issuing entity.
-
B.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
C.
hasBandNumber
Indicates that an entity is associated with a specific band identification number.
-
D.
opusNumber
Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
-
E.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
- 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_69d733eba9b48190b4dbe7fe5d8be0a4 |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
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, 9:18 p.m.