Triple
T6555054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Sylacauga |
E152425
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Marble City
Marble City is a nickname for Sylacauga, Alabama, reflecting its long history of marble quarrying and production.
|
E604727
|
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: Marble City | Statement: [City of Sylacauga, nickname, Marble City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marble City Context triple: [City of Sylacauga, nickname, Marble City]
-
A.
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
-
B.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
C.
Bedrock
Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
-
D.
Selenite city
Selenite city is the subterranean lunar metropolis inhabited by the insect-like Selenites in H. G. Wells’s science fiction novel "The First Men in the Moon."
-
E.
River City
River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
- 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: Marble City Triple: [City of Sylacauga, nickname, Marble City]
Generated description
Marble City is a nickname for Sylacauga, Alabama, reflecting its long history of marble quarrying and production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marble City Target entity description: Marble City is a nickname for Sylacauga, Alabama, reflecting its long history of marble quarrying and production.
-
A.
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
-
B.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
C.
Bedrock
Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
-
D.
Selenite city
Selenite city is the subterranean lunar metropolis inhabited by the insect-like Selenites in H. G. Wells’s science fiction novel "The First Men in the Moon."
-
E.
River City
River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55707d081908104f08e1d59d603 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d67574cc8190acf20c1a598c32ee |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.