Triple
T18235285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Długi Targ |
E436657
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Main Town Hall |
—
|
NE NERFINISHED |
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: Main Town Hall | Statement: [Długi Targ, hasLandmark, Main Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Town Hall Context triple: [Długi Targ, hasLandmark, Main Town Hall]
-
A.
Main Town Hall
chosen
Main Town Hall is a historic Gothic-Renaissance municipal building and prominent architectural landmark located in the heart of Gdańsk’s Old Town.
-
B.
Town Hall
Town Hall is a historic civic building in Berwick-upon-Tweed that has long served as a center for local government and community events.
-
C.
Town Hall
Town Hall is a major civic building and historic landmark in central Sydney, commonly used for government functions, public events, and cultural activities.
-
D.
Town Hall
Town Hall is a prominent civic building in Clonmel, Ireland, serving as a central venue for local government and community events.
-
E.
Town Hall
Town Hall is a prominent civic and cultural building in Middlesbrough, England, known for hosting concerts, performances, and community events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b5ce608190b6fba518256607da |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.