Triple
T13537110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDOR |
E323288
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | DEU |
E387640
|
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: DEU | Statement: [FDOR, countryCode, DEU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEU Context triple: [FDOR, countryCode, DEU]
-
A.
DEU
chosen
DEU is the three-letter ISO 3166-1 alpha-3 country code representing Germany.
-
B.
DE
DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
-
C.
DE
DE is the commonly used abbreviation for the University of Debrecen, a major Hungarian institution of higher education and research.
-
D.
DE
DE is the United States Postal Service abbreviation for the state of Delaware.
-
E.
Deutch
Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.