Triple
T12753920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower City |
E304806
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Modelo Market
Modelo Market is a notable marketplace and local landmark situated in the Lower City district.
|
E1000579
|
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: Modelo Market | Statement: [Lower City, hasLandmark, Modelo Market]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modelo Market Context triple: [Lower City, hasLandmark, Modelo Market]
-
A.
Modelo (outside United States)
Modelo (outside the United States) is a popular Mexican beer brand owned and marketed internationally by AB InBev.
-
B.
Mercado Modelo
Mercado Modelo is a historic public market and popular tourist attraction in Salvador, Bahia, known for its colonial architecture, handicrafts, and traditional Bahian food.
-
C.
Modell
Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
-
D.
Models Inc.
Models Inc. is a mid-1990s American prime-time soap opera centered on the lives and careers of models at a Los Angeles modeling agency.
-
E.
The Models
The Models is a large post-Impressionist painting by Georges Seurat that depicts three nude female figures in a studio, showcasing his pointillist technique and exploration of modern life.
- 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: Modelo Market Triple: [Lower City, hasLandmark, Modelo Market]
Generated description
Modelo Market is a notable marketplace and local landmark situated in the Lower City district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Modelo Market Target entity description: Modelo Market is a notable marketplace and local landmark situated in the Lower City district.
-
A.
Modelo (outside United States)
Modelo (outside the United States) is a popular Mexican beer brand owned and marketed internationally by AB InBev.
-
B.
Mercado Modelo
Mercado Modelo is a historic public market and popular tourist attraction in Salvador, Bahia, known for its colonial architecture, handicrafts, and traditional Bahian food.
-
C.
Modell
Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
-
D.
Models Inc.
Models Inc. is a mid-1990s American prime-time soap opera centered on the lives and careers of models at a Los Angeles modeling agency.
-
E.
The Models
The Models is a large post-Impressionist painting by Georges Seurat that depicts three nude female figures in a studio, showcasing his pointillist technique and exploration of modern life.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c9aa6308190bfcb1511a561c0f9 |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67db631348190812ba3582f1850c4 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ececce8819080335e67bd747057 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:27 p.m.