Triple
T12041199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wee Kim Wee School of Communication and Information |
E286662
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
WKWSCI
WKWSCI is the Wee Kim Wee School of Communication and Information at Nanyang Technological University in Singapore, renowned for its media, communication, and information studies programs.
|
E960819
|
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: WKWSCI | Statement: [Wee Kim Wee School of Communication and Information, hasAbbreviation, WKWSCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WKWSCI Context triple: [Wee Kim Wee School of Communication and Information, hasAbbreviation, WKWSCI]
-
A.
WKI
WKI is a German research institute specializing in wood science and wood-based materials, operating under the Fraunhofer Society.
-
B.
KWRB
KWRB is the ICAO airport code for Robins Air Force Base, a major United States Air Force installation in Georgia.
-
C.
KWSWK
KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
-
D.
WMKA
WMKA is the ICAO airport code for Sultan Abdul Halim Airport in Alor Setar, Malaysia.
-
E.
WMKI
WMKI is the ICAO airport code for Sultan Azlan Shah Airport in Ipoh, Malaysia.
- 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: WKWSCI Triple: [Wee Kim Wee School of Communication and Information, hasAbbreviation, WKWSCI]
Generated description
WKWSCI is the Wee Kim Wee School of Communication and Information at Nanyang Technological University in Singapore, renowned for its media, communication, and information studies programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WKWSCI Target entity description: WKWSCI is the Wee Kim Wee School of Communication and Information at Nanyang Technological University in Singapore, renowned for its media, communication, and information studies programs.
-
A.
WKI
WKI is a German research institute specializing in wood science and wood-based materials, operating under the Fraunhofer Society.
-
B.
KWRB
KWRB is the ICAO airport code for Robins Air Force Base, a major United States Air Force installation in Georgia.
-
C.
KWSWK
KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
-
D.
WMKA
WMKA is the ICAO airport code for Sultan Abdul Halim Airport in Alor Setar, Malaysia.
-
E.
WMKI
WMKI is the ICAO airport code for Sultan Azlan Shah Airport in Ipoh, Malaysia.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56505c0b481909f9caaf338f73033 |
completed | May 2, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:47 p.m.