Triple
T4199040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scone |
E86021
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Pages River |
E83846
|
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: Pages River | Statement: [Scone, hasRiver, Pages River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pages River Context triple: [Scone, hasRiver, Pages River]
-
A.
Pages River
chosen
Pages River is a minor river in New South Wales, Australia, that forms part of the Hunter River catchment.
-
B.
Ourthe River
The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
-
C.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
D.
Real River
Real River is a watercourse in the Brazilian state of Sergipe, known for flowing through the northeastern region of the country and contributing to local ecosystems and communities.
-
E.
Blue River
Blue River is a tributary of the Missouri River that flows through eastern Kansas and western Missouri, including the Kansas City metropolitan area.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a12c11481908033229ecf90c9f9 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:48 p.m.