Triple
T13731232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendle |
E329801
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Barley |
E387886
|
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: Barley | Statement: [Pendle, contains, Barley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barley Context triple: [Pendle, contains, Barley]
-
A.
Barley
chosen
Barley is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional English countryside setting.
-
B.
Avena sativa
Avena sativa is the cultivated oat species widely grown as a cereal crop for human consumption and livestock feed.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Secale cereale
Secale cereale, commonly known as rye, is a cereal grain cultivated for food, animal feed, and as a cover crop, especially in cooler climates.
-
E.
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.