Triple
T3148323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immigration and Nationality Act |
E65816
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | INA |
E65816
|
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: INA | Statement: [Immigration and Nationality Act, shortName, INA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INA Context triple: [Immigration and Nationality Act, shortName, INA]
-
A.
INA
INA refers to the Indian National Army, a military force formed during World War II to fight against British colonial rule in India, primarily under the leadership of Subhas Chandra Bose.
-
B.
INA
chosen
INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
-
C.
NI
NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
-
D.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
E.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f53bbc81908416272cd48af69e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.