Triple
T2120033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culloden, Georgia |
E43897
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | US |
E287391
|
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: US | Statement: [Culloden, Georgia, countryCode, US]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US Context triple: [Culloden, Georgia, countryCode, US]
-
A.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
B.
EUA
EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
-
C.
.us
chosen
.us is the country code top-level domain (ccTLD) designated for websites associated with the United States.
-
D.
EEU
EEU is the commonly used abbreviation for the Eurasian Economic Union, a regional economic bloc of several post-Soviet states focused on economic integration and a single market.
-
E.
US-ME
US-ME is the ISO 3166-2 code representing the U.S. state of Maine.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb32efb48190bcb99f30787a3a55 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6251b848190911748bd72b3dc25 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:44 p.m.