Triple
T10560430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastrea |
E249202
|
entity |
| Predicate | locatedInFenland |
P94684
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Eastrea, locatedInFenland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFenland Context triple: [Eastrea, locatedInFenland, true]
-
A.
locatedInRiverPlain
Indicates that something is situated within the flat, low-lying area formed by a river’s floodplain.
-
B.
locatedInRiverDelta
Indicates that one entity is situated within the river delta region of another entity (the river).
-
C.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
-
D.
locatedInBritishCountry
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
E.
locatedInland
Indicates that something is situated away from the coast or shoreline, within the interior of a land area.
- F. None of above. chosen
Provenance (4 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271f3c6c819080b49fbe3aa09e09 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.