Triple
T12746241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hu Zongnan |
E304610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hu |
E206049
|
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: Hu | Statement: [Hu Zongnan, familyName, Hu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hu Context triple: [Hu Zongnan, familyName, Hu]
-
A.
Hu
chosen
Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
-
B.
HU
HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
-
C.
HU
HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
-
D.
HU
HU is the ISO 3166-1 alpha-2 country code for Hungary, a landlocked Central European nation known for its capital Budapest and rich cultural history.
-
E.
HU
HU is the commonly used abbreviation for Hogeschool Utrecht, a large university of applied sciences in the Netherlands.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd42fe08190a85467b1a998d2af |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c94265481908ace9cac757df890 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.