Triple
T2669428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law French |
E55713
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Legal French |
E55713
|
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: Legal French | Statement: [Law French, hasAlternativeName, Legal French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legal French Context triple: [Law French, hasAlternativeName, Legal French]
-
A.
Law French
chosen
Law French is a specialized dialect of Anglo-Norman historically used in English legal proceedings, court records, and legal terminology.
-
B.
French law
French law is the civil law-based legal system of France that governs public and private life through codified statutes, regulations, and judicial interpretation.
-
C.
Guernsey Legal French
Guernsey Legal French is a specialized variety of French used historically in the legal system of Guernsey, preserving many archaic Norman and Anglo-Norman features.
-
D.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
E.
French American
French Americans are U.S. residents or citizens of French ancestry, including both descendants of early French settlers and more recent immigrants from France.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98d32ac8190b8edd9421b706532 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05d028c8190860587da07ea7e9b |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.