Triple
T2103534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albuquerque |
E37142
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Duke City
Duke City is a popular nickname for Albuquerque, New Mexico, reflecting its historical ties to Spanish nobility.
|
E233730
|
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: Duke City | Statement: [Albuquerque, hasNickname, Duke City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke City Context triple: [Albuquerque, hasNickname, Duke City]
-
A.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
-
B.
Charlotte
Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
-
C.
San Antonio
San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
-
D.
San Antonio
San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
-
E.
San Antonio
San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
- 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: Duke City Triple: [Albuquerque, hasNickname, Duke City]
Generated description
Duke City is a popular nickname for Albuquerque, New Mexico, reflecting its historical ties to Spanish nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke City Target entity description: Duke City is a popular nickname for Albuquerque, New Mexico, reflecting its historical ties to Spanish nobility.
-
A.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
-
B.
Charlotte
Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
-
C.
San Antonio
San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
-
D.
San Antonio
San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
-
E.
San Antonio
San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3068189c81909cf76fd1fc2a0fe6 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f9d0448190a0b3251676d9825d |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae316398488190b9dd38145d5488b4 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.