Triple
T7162740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Irvine |
E166984
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Darvel |
E646156
|
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: Darvel | Statement: [River Irvine, hasNearbySettlement, Darvel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darvel Context triple: [River Irvine, hasNearbySettlement, Darvel]
-
A.
Darvel
chosen
Darvel is a small town in East Ayrshire, Scotland, historically known for its lace-making industry and rural setting in the Irvine Valley.
-
B.
Darbenai
Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
-
C.
Devol
Devol was a medieval fortress town in the Balkans, historically significant as the site of the Treaty of Devol between the Byzantine Empire and the Norman Kingdom of Sicily.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Dalane
Dalane is a traditional district in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small industrial and fishing communities.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8fae30481909c39d68fb828a2c0 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:47 p.m.