Triple
T13164584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubra River |
E312816
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Hunder |
E280250
|
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: Hunder | Statement: [Nubra River, nearbySettlement, Hunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunder Context triple: [Nubra River, nearbySettlement, Hunder]
-
A.
Hunder
chosen
Hunder is a small village in the Nubra Valley of Ladakh, India, known for its sand dunes and Bactrian camel rides amid high-altitude desert landscapes.
-
B.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
C.
Hundon
Hundon is a rural village and civil parish located in the English county of Suffolk.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Mümling
The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.