Triple
T3808850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CR |
E93079
|
entity |
| Predicate | hasAlpha3Code |
P208
|
FINISHED |
| Object | CRI |
E93080
|
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: CRI | Statement: [CR, hasAlpha3Code, CRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRI Context triple: [CR, hasAlpha3Code, CRI]
-
A.
CRI
chosen
CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
-
B.
CRIPA
CRIPA is a U.S. federal law that authorizes the Department of Justice to investigate and address systemic civil rights violations in state or local institutions such as prisons, jails, and mental health facilities.
-
C.
CRIT
CRIT is the commonly used abbreviation for the Colorado River Indian Tribes, a federally recognized tribal nation located along the Colorado River in western Arizona.
-
D.
CREI
CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
-
E.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80c7fc48190b5c2400918bba5c2 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb30a61c819096325d7f11d22f89 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:16 p.m.