Triple
T5596675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Code |
E147014
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | LexisNexis |
E75102
|
NE 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: LexisNexis | Statement: [Maryland Code, publisher, LexisNexis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LexisNexis Context triple: [Maryland Code, publisher, LexisNexis]
-
A.
LexisNexis
chosen
LexisNexis is a major legal research and information services provider offering extensive databases of case law, statutes, news, and business information to legal and professional users worldwide.
-
B.
Westlaw
Westlaw is a comprehensive online legal research service and database widely used by lawyers, judges, and scholars to access case law, statutes, regulations, and secondary legal materials.
-
C.
Bloomberg Law
Bloomberg Law is a comprehensive legal research and business intelligence platform that provides access to case law, statutes, regulations, dockets, news, and analytical tools for legal professionals.
-
D.
Thomson Reuters
Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
-
E.
Factiva
Factiva is a global news and business information database that aggregates content from thousands of newspapers, journals, and other sources for research and analysis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bf77cc8190b8ca473c3a2e1d28 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d3be1bc8190a5cdc1bf694356a6 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:38 p.m.