Triple
T8891366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Orleans Regional Transit Authority |
E211682
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
NORTA
NORTA is the public transportation agency that operates buses, streetcars, and paratransit services in the New Orleans metropolitan area.
|
E763772
|
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: NORTA | Statement: [New Orleans Regional Transit Authority, alsoKnownAs, NORTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NORTA Context triple: [New Orleans Regional Transit Authority, alsoKnownAs, NORTA]
-
A.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
-
B.
NTAS
NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
-
C.
Noreaga
Noreaga, better known as N.O.R.E., is an American rapper from Queens, New York, recognized both for his work as half of the duo Capone-N-Noreaga and for his solo hits and later role as a hip-hop media personality.
-
D.
Natone
Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
-
E.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
- 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: NORTA Triple: [New Orleans Regional Transit Authority, alsoKnownAs, NORTA]
Generated description
NORTA is the public transportation agency that operates buses, streetcars, and paratransit services in the New Orleans metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NORTA Target entity description: NORTA is the public transportation agency that operates buses, streetcars, and paratransit services in the New Orleans metropolitan area.
-
A.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
-
B.
NTAS
NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
-
C.
Noreaga
Noreaga, better known as N.O.R.E., is an American rapper from Queens, New York, recognized both for his work as half of the duo Capone-N-Noreaga and for his solo hits and later role as a hip-hop media personality.
-
D.
Natone
Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
-
E.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61ba33c48190a657fc4147a326c0 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf01d048190bed52b5b001d7ffa |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9d65ac8190a8234e9999d14ec1 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad0a02888190a960e7b551ca2534 |
completed | April 3, 2026, 12:05 p.m. |
Created at: March 30, 2026, 6:54 p.m.