Triple
T7453015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ath |
E172051
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Esplanade district |
E341682
|
NE 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: Esplanade district | Statement: [Ath, hasPart, Esplanade district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esplanade district Context triple: [Ath, hasPart, Esplanade district]
-
A.
Queen’s Quay area
The Queen’s Quay area is a redeveloped waterfront district in Belfast city centre featuring modern mixed-use spaces along the River Lagan.
-
B.
Grand Anse
Grand Anse is a picturesque, white-sand beach on the island of La Digue in the Seychelles, known for its dramatic granite boulders and strong surf.
-
C.
Esplanade of the Ministries
Esplanade of the Ministries is a monumental avenue and government complex in Brasília that houses the main federal ministry buildings of Brazil.
-
D.
Esplanade
Esplanade is the large open parade ground in front of Edinburgh Castle, best known as the venue for the annual Royal Edinburgh Military Tattoo.
-
E.
Esplanade
chosen
Esplanade is a district of Strasbourg, France, known for its residential areas, university facilities, and proximity to the city center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3ac5c2081908ab03f8bd4586f94 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.