Triple
T1162603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marrakesh |
E24526
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
|
E137064
|
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: Ochre City | Statement: [Marrakesh, nickname, Ochre City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ochre City Context triple: [Marrakesh, nickname, Ochre City]
-
A.
Camel City
Camel City is a nickname for Winston-Salem, North Carolina, historically tied to the city’s association with the Camel cigarette brand and its tobacco industry.
-
B.
Crown City
Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
-
C.
Golden City
Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
-
D.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
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
- 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: Ochre City Triple: [Marrakesh, nickname, Ochre City]
Generated description
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ochre City Target entity description: Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
-
A.
Camel City
Camel City is a nickname for Winston-Salem, North Carolina, historically tied to the city’s association with the Camel cigarette brand and its tobacco industry.
-
B.
Crown City
Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
-
C.
Golden City
Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
-
D.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7642ff0c81909b323ac328b18e2e |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76f20f308190be3c831eb2d59763 |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac77585c708190b5f4b239d9574cd7 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:45 p.m.