Triple
T5618261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Channel |
E147531
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Constance Street
Constance Street is a residential and commercial street located in the historic Irish Channel neighborhood of New Orleans, Louisiana.
|
E897874
|
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: Constance Street | Statement: [Irish Channel, hasStreet, Constance Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance Street Context triple: [Irish Channel, hasStreet, Constance Street]
-
A.
Warren Street
Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
-
B.
Warren Street
Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
-
C.
Warren Street
Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
-
D.
Hurst Street
Hurst Street is a well-known street in Birmingham, England, recognized for its nightlife and as the heart of the city’s Gay Village.
-
E.
Wellesley Street
Wellesley Street is a major east–west thoroughfare in downtown Toronto, Ontario, running through the city’s core near key civic and institutional landmarks.
- 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: Constance Street Triple: [Irish Channel, hasStreet, Constance Street]
Generated description
Constance Street is a residential and commercial street located in the historic Irish Channel neighborhood of New Orleans, Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Constance Street Target entity description: Constance Street is a residential and commercial street located in the historic Irish Channel neighborhood of New Orleans, Louisiana.
-
A.
Warren Street
Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
-
B.
Warren Street
Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
-
C.
Warren Street
Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
-
D.
Hurst Street
Hurst Street is a well-known street in Birmingham, England, recognized for its nightlife and as the heart of the city’s Gay Village.
-
E.
Wellesley Street
Wellesley Street is a major east–west thoroughfare in downtown Toronto, Ontario, running through the city’s core near key civic and institutional landmarks.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dd5d0081909d18d16596fac507 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: March 22, 2026, 3:40 p.m.