Triple
T12056011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartolomeu Dias Museum Complex |
E287043
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Field Garden
Field Garden is an outdoor area within the Bartolomeu Dias Museum Complex, likely featuring cultivated plants and landscaped grounds for visitors to explore.
|
E961631
|
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: Field Garden | Statement: [Bartolomeu Dias Museum Complex, hasPart, Field Garden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Field Garden Context triple: [Bartolomeu Dias Museum Complex, hasPart, Field Garden]
-
A.
Great Garden
Great Garden is a historic formal baroque garden in Hanover, Germany, renowned for its geometric layout, fountains, and sculptures surrounding Herrenhausen Palace.
-
B.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Campo
Campo is a town located in the South Region of Brazil.
-
D.
Meadow Garden
Meadow Garden is a naturalistic, meadow-inspired landscape area within Olbrich Botanical Gardens that showcases prairie-style plantings and seasonal wildflower displays.
-
E.
Outer Garden
The Outer Garden is the more expansive, open-air section of Sankeien Garden, featuring broad landscapes, historic buildings, and scenic walking areas.
- 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: Field Garden Triple: [Bartolomeu Dias Museum Complex, hasPart, Field Garden]
Generated description
Field Garden is an outdoor area within the Bartolomeu Dias Museum Complex, likely featuring cultivated plants and landscaped grounds for visitors to explore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Field Garden Target entity description: Field Garden is an outdoor area within the Bartolomeu Dias Museum Complex, likely featuring cultivated plants and landscaped grounds for visitors to explore.
-
A.
Great Garden
Great Garden is a historic formal baroque garden in Hanover, Germany, renowned for its geometric layout, fountains, and sculptures surrounding Herrenhausen Palace.
-
B.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Campo
Campo is a town located in the South Region of Brazil.
-
D.
Meadow Garden
Meadow Garden is a naturalistic, meadow-inspired landscape area within Olbrich Botanical Gardens that showcases prairie-style plantings and seasonal wildflower displays.
-
E.
Outer Garden
The Outer Garden is the more expansive, open-air section of Sankeien Garden, featuring broad landscapes, historic buildings, and scenic walking areas.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.