Triple
T5540591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azerbaijani manat |
E145277
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object |
manat
The manat is the official currency used in Azerbaijan.
|
E530468
|
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: manat | Statement: [Azerbaijani manat, symbol, manat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: manat Context triple: [Azerbaijani manat, symbol, manat]
-
A.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
B.
Maldivian rufiyaa
The Maldivian rufiyaa is the official monetary unit of the Maldives, used for everyday transactions and issued by the country's central bank.
-
C.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
-
D.
Brunei dollar
The Brunei dollar is the official currency of Brunei Darussalam, issued by the Autoriti Monetari Brunei Darussalam and maintained at parity with the Singapore dollar under a longstanding currency interchangeability agreement.
-
E.
Rupiah Banda
Rupiah Banda was a Zambian politician who served as the country's president from 2008 to 2011.
- 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: manat Triple: [Azerbaijani manat, symbol, manat]
Generated description
The manat is the official currency used in Azerbaijan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: manat Target entity description: The manat is the official currency used in Azerbaijan.
-
A.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
B.
Maldivian rufiyaa
The Maldivian rufiyaa is the official monetary unit of the Maldives, used for everyday transactions and issued by the country's central bank.
-
C.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
-
D.
Brunei dollar
The Brunei dollar is the official currency of Brunei Darussalam, issued by the Autoriti Monetari Brunei Darussalam and maintained at parity with the Singapore dollar under a longstanding currency interchangeability agreement.
-
E.
Rupiah Banda
Rupiah Banda was a Zambian politician who served as the country's president from 2008 to 2011.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc66cc08190b9b2a62098ecbdb1 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0281bfcc48190a0e4e51b4dca5a4b |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0362dc2648190b1cb81d6aa3050da |
completed | March 22, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036adf9ac8190aed5688d67e52304 |
completed | March 22, 2026, 6:36 p.m. |
Created at: March 22, 2026, 3:35 p.m.