Triple
T9887832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Museum Great Court |
E181378
|
entity |
| Predicate | isLargestCoveredPublicSquareIn |
P91617
|
FINISHED |
| Object | Europe (at time of opening) |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Europe (at time of opening) | Statement: [British Museum Great Court, isLargestCoveredPublicSquareIn, Europe (at time of opening)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestCoveredPublicSquareIn Context triple: [British Museum Great Court, isLargestCoveredPublicSquareIn, Europe (at time of opening)]
-
A.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative entity.
-
B.
mainSquare
Indicates that a location serves as the primary or central public square of a town or city.
-
C.
isLargestUrbanParkIn
Indicates that one entity is the largest urban park within the boundaries or context of another specified entity (such as a city or region).
-
D.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
-
E.
capitalCitySquareOf
Indicates that one entity is a public square located in or associated with the capital city of the other entity.
- F. None of above. chosen
Provenance (4 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4592db881909b134834dde614d8 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:39 p.m.