Triple
T7088553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kindle Store |
E165135
|
entity |
| Predicate | contentFormat |
P131
|
FINISHED |
| Object |
AZW
AZW is Amazon’s proprietary eBook file format used primarily for distributing and reading digital books on Kindle devices and apps.
|
E640008
|
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: AZW | Statement: [Amazon Kindle Store, contentFormat, AZW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZW Context triple: [Amazon Kindle Store, contentFormat, AZW]
-
A.
ZF
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
B.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
C.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
D.
LZA
LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
-
E.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
- 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: AZW Triple: [Amazon Kindle Store, contentFormat, AZW]
Generated description
AZW is Amazon’s proprietary eBook file format used primarily for distributing and reading digital books on Kindle devices and apps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AZW Target entity description: AZW is Amazon’s proprietary eBook file format used primarily for distributing and reading digital books on Kindle devices and apps.
-
A.
ZF
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
B.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
C.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
D.
LZA
LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
-
E.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52d26f08190917e5e13b181bdae |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794888abc8190ada2ae826449745a |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7954253948190ab2bb3f7fc699fc3 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795b1be18819087a4a70fc567bd80 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:41 p.m.