Triple
T8850687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Du Fu |
E210629
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fu |
E476693
|
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: Fu | Statement: [Du Fu, givenName, Fu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fu Context triple: [Du Fu, givenName, Fu]
-
A.
Fu
chosen
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
-
B.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
C.
FO
FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
-
D.
FUM
FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
-
E.
F.
F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89cb853c8190a7664f2e7de0de87 |
completed | April 3, 2026, 9:35 a.m. |
Created at: March 30, 2026, 6:49 p.m.