Triple
T2761630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Central Birmingham |
E61232
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
AZPML
AZPML is an architecture and urban design firm known for innovative, large-scale public and infrastructure projects such as the redevelopment of major transport hubs.
|
E296536
|
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: AZPML | Statement: [Grand Central Birmingham, architect, AZPML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZPML Context triple: [Grand Central Birmingham, architect, AZPML]
-
A.
AZD
AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
-
B.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
C.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
-
D.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
E.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
- 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: AZPML Triple: [Grand Central Birmingham, architect, AZPML]
Generated description
AZPML is an architecture and urban design firm known for innovative, large-scale public and infrastructure projects such as the redevelopment of major transport hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AZPML Target entity description: AZPML is an architecture and urban design firm known for innovative, large-scale public and infrastructure projects such as the redevelopment of major transport hubs.
-
A.
AZD
AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
-
B.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
C.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
-
D.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
E.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd5072548190946f037c38aabb02 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc04365448190b37e5ed16c16d650 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0b6368081908e2520ac6680a409 |
completed | March 10, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc145e61881908c0eeae455b02a78 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:57 p.m.