Triple
T6264705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bica |
E140384
|
entity |
| Predicate | opposedParty |
P15297
|
FINISHED |
| Object | De Canas |
E153225
|
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: De Canas | Statement: [Bica, opposedParty, De Canas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Canas Context triple: [Bica, opposedParty, De Canas]
-
A.
De Canas
chosen
De Canas is a party to the U.S. Supreme Court case De Canas v. Bica, which addressed the extent of state authority over the employment of unauthorized immigrants.
-
B.
Pedernales
Pedernales is a coastal town in northwestern Ecuador known for its beaches and fishing activities.
-
C.
Dos Lagos
Dos Lagos is a mixed-use residential, retail, and entertainment neighborhood and lifestyle center located in the city of Corona, California.
-
D.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
E.
Helaba
Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51932e704819083e1ed17a86f6b5e |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:25 p.m.