Triple
T16814832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassau Avenue |
E408715
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Brooklyn
Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and historic architecture.
|
E5446
|
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: Brooklyn | Statement: [Nassau Avenue, locatedIn, Brooklyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooklyn Context triple: [Nassau Avenue, locatedIn, Brooklyn]
-
A.
Brooklyn
Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
-
B.
Brooklyn
Brooklyn is a small city in Poweshiek County, Iowa, known for its collection of flags from around the world and its nickname "Community of Flags."
-
C.
Brooklyn
"Brooklyn" is a 2015 period drama film about a young Irish woman who emigrates to New York in the 1950s and must choose between her new life in America and her roots in Ireland.
-
D.
Brooklyn
Brooklyn is a red-skinned, beaked gargoyle and the second-in-command of the Manhattan Clan in the animated television series "Gargoyles."
-
E.
Brooklyn
Brooklyn is a residential suburb within the coastal city of Burnie in Tasmania, Australia.
- 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: Brooklyn Triple: [Nassau Avenue, locatedIn, Brooklyn]
Generated description
Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brooklyn Target entity description: Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and historic architecture.
-
A.
Brooklyn
chosen
Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
-
B.
Brooklyn
Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
-
C.
Brooklyn
Brooklyn is a historic, primarily residential neighborhood in inner southeast Portland, Oregon, known for its close-in location, community feel, and mix of older homes and light industrial areas.
-
D.
Brooklyn
Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
-
E.
Brooklyn
Brooklyn is a small city in Poweshiek County, Iowa, known for its collection of flags from around the world and its nickname "Community of Flags."
- F. None of above.
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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e0e05081908bd5eaa64abe133d |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c798389c8190aa9865d9aa746da5 |
completed | May 10, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a00c81185748190aa0652214a22d11b |
completed | May 10, 2026, 6:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c8aa5aac8190be5f79f992c8a0ec |
completed | May 10, 2026, 6:04 p.m. |
Created at: April 10, 2026, 5:23 a.m.