Triple
T20616398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agence wallonne du Patrimoine |
E506578
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
AWaP
AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
|
E1441744
|
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: AWaP | Statement: [Agence wallonne du Patrimoine, shortName, AWaP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWaP Context triple: [Agence wallonne du Patrimoine, shortName, AWaP]
-
A.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
B.
AWRP
AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
-
C.
WAA
WAA is the acronym for the Winnipeg Airports Authority, the organization responsible for operating and managing Winnipeg’s airport facilities.
-
D.
WAAPA
WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
-
E.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
- 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: AWaP Triple: [Agence wallonne du Patrimoine, shortName, AWaP]
Generated description
AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWaP Target entity description: AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
-
A.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
B.
AWRP
AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
-
C.
WAA
WAA is the acronym for the Winnipeg Airports Authority, the organization responsible for operating and managing Winnipeg’s airport facilities.
-
D.
WAAPA
WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
-
E.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadbb3ac81908145f57fd6a94256 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb13545c8190afcd6b35e2aa56ef |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bbb570f4819093e23b20fd83d101 |
completed | May 16, 2026, 6:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bf7d661c8190af9e9b7b4121f951 |
completed | May 16, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:41 a.m.