Triple
T2213200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peking University |
E50963
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PKU
PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
|
E243861
|
NE FINISHED |
How this triple was built (4 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: PKU | Statement: [Peking University, shortName, PKU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PKU Context triple: [Peking University, shortName, PKU]
-
A.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
B.
PDD
PDD is an abbreviation commonly used for the Public Diplomacy Division, a body responsible for managing a country or organization’s communication and outreach to foreign publics.
-
C.
PHNL
PHNL is the ICAO airport code for Daniel K. Inouye International Airport, the main commercial aviation hub serving Honolulu and the state of Hawaii.
-
D.
CDG
CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
-
E.
PBC
PBC is the commonly used abbreviation for the People's Bank of China, the central bank responsible for implementing monetary policy and regulating financial institutions in China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PKU Triple: [Peking University, shortName, PKU]
Generated description
PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PKU Target entity description: PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
-
A.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
B.
PDD
PDD is an abbreviation commonly used for the Public Diplomacy Division, a body responsible for managing a country or organization’s communication and outreach to foreign publics.
-
C.
PHNL
PHNL is the ICAO airport code for Daniel K. Inouye International Airport, the main commercial aviation hub serving Honolulu and the state of Hawaii.
-
D.
CDG
CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
-
E.
PBC
PBC is the commonly used abbreviation for the People's Bank of China, the central bank responsible for implementing monetary policy and regulating financial institutions in China.
- F. None of above. chosen
Provenance (5 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfee6ae48190825ca792e8f99946 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6554f3308190a180cac3ad7e2ce4 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d419048190ad723d21ab7f1cab |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae666e71908190b50be2cac5bdfa28 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.