Triple
T4435909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manaus |
E95648
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object |
Amazon Time (AMT)
Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
|
E440764
|
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: Amazon Time (AMT) | Statement: [Manaus, timeZone, Amazon Time (AMT)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Time (AMT) Context triple: [Manaus, timeZone, Amazon Time (AMT)]
-
A.
AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
B.
Amazon
Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
-
C.
Amazon Air
Amazon Air is the cargo airline division of Amazon that operates a dedicated air network to expedite the company’s package delivery across the United States and internationally.
-
D.
Amazon Prime
Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
-
E.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
- 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: Amazon Time (AMT) Triple: [Manaus, timeZone, Amazon Time (AMT)]
Generated description
Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amazon Time (AMT) Target entity description: Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
-
A.
AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
B.
Amazon
Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
-
C.
Amazon Air
Amazon Air is the cargo airline division of Amazon that operates a dedicated air network to expedite the company’s package delivery across the United States and internationally.
-
D.
Amazon Prime
Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
-
E.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61377180c8190898300fe0cd77433 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6147ccef88190aadc1c3481a7a23e |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b61896cc0c8190bff3af52bbadb4e1 |
completed | March 15, 2026, 2:25 a.m. |
Created at: March 12, 2026, 11:31 p.m.