Triple
T15564620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brontë Country |
E371083
|
entity |
| Predicate | includesPlace |
P1393
|
FINISHED |
| Object | Top Withens |
E868401
|
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: Top Withens | Statement: [Brontë Country, includesPlace, Top Withens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Withens Context triple: [Brontë Country, includesPlace, Top Withens]
-
A.
Top Withens
chosen
Top Withens is a ruined farmhouse on the moors near Haworth in West Yorkshire, England, traditionally associated with having inspired the setting of Emily Brontë’s novel "Wuthering Heights."
-
B.
Topes
"Topes" is a commonly used nickname for the Albuquerque Isotopes, a Minor League Baseball team based in Albuquerque, New Mexico.
-
C.
Ontop
Ontop is an open-source Ontology-Based Data Access (OBDA) system that enables querying relational databases through semantic web technologies such as OWL ontologies and SPARQL.
-
D.
Top Achat
Top Achat is a French online retailer specializing in computer hardware, electronics, and tech components.
-
E.
Toplin
Toplin is a darkly surreal horror novel by Michael McDowell that follows the disturbed inner life of an unreliable narrator descending into madness.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:10 a.m.