Triple
T11049259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Déagol |
E261203
|
entity |
| Predicate | culture |
P1114
|
FINISHED |
| Object | Stoors |
E901254
|
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: Stoors | Statement: [Déagol, culture, Stoors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoors Context triple: [Déagol, culture, Stoors]
-
A.
Stoor
chosen
Stoor is one of the three breeds of Hobbits in J.R.R. Tolkien’s Middle-earth legendarium, known for their stockier build and affinity for rivers and boats.
-
B.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
C.
Stedum
Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
-
D.
Stranorlar
Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
-
E.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79867fa28819094f564273e3ef51d |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c851d5408190b12250a2a1322874 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.