Triple
T3113507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa de los Azulejos |
E65003
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Sanborns
Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
|
E327766
|
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: Sanborns | Statement: [Casa de los Azulejos, operator, Sanborns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanborns Context triple: [Casa de los Azulejos, operator, Sanborns]
-
A.
Sanborn House
Sanborn House is a historic early 20th-century mansion in Winchester, Massachusetts, noted for its distinctive architecture and role in the town’s cultural and civic history.
-
B.
The Olmsted
The Olmsted is a residential building located along Manhattan’s Central Park West, named in honor of landscape architect Frederick Law Olmsted.
-
C.
Storrow
Storrow is a local nickname for Boston’s Storrow Drive, a busy riverside parkway notorious for low-clearance bridges and frequent truck accidents.
-
D.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
E.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
- 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: Sanborns Triple: [Casa de los Azulejos, operator, Sanborns]
Generated description
Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanborns Target entity description: Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
-
A.
Sanborn House
Sanborn House is a historic early 20th-century mansion in Winchester, Massachusetts, noted for its distinctive architecture and role in the town’s cultural and civic history.
-
B.
The Olmsted
The Olmsted is a residential building located along Manhattan’s Central Park West, named in honor of landscape architect Frederick Law Olmsted.
-
C.
Storrow
Storrow is a local nickname for Boston’s Storrow Drive, a busy riverside parkway notorious for low-clearance bridges and frequent truck accidents.
-
D.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
E.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.