Triple
T3678308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noma, Florida |
E78048
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Noma
Noma is a small town located in Holmes County in the Florida Panhandle region of the United States.
|
E379054
|
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: Noma | Statement: [Noma, Florida, abbreviation, Noma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noma Context triple: [Noma, Florida, abbreviation, Noma]
-
A.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
B.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
C.
Somwarpet
Somwarpet is a town in Karnataka’s Kodagu (Coorg) district, known for its coffee plantations, scenic hills, and proximity to popular natural attractions.
-
D.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
E.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
- 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: Noma Triple: [Noma, Florida, abbreviation, Noma]
Generated description
Noma is a small town located in Holmes County in the Florida Panhandle region of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noma Target entity description: Noma is a small town located in Holmes County in the Florida Panhandle region of the United States.
-
A.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
B.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
C.
Somwarpet
Somwarpet is a town in Karnataka’s Kodagu (Coorg) district, known for its coffee plantations, scenic hills, and proximity to popular natural attractions.
-
D.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
E.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a50d40819081aad0c72bcaee9d |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c451a5048190bfd4675cd17de655 |
completed | March 14, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c494ad80819084d6aa10fe62a63b |
completed | March 14, 2026, 2:14 a.m. |
Created at: March 8, 2026, 3:25 p.m.