Triple
T21280580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razdan River |
E524509
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Nor Hachn |
—
|
NE NERFINISHED |
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: Nor Hachn | Statement: [Razdan River, passesNear, Nor Hachn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nor Hachn Context triple: [Razdan River, passesNear, Nor Hachn]
-
A.
Nor Hachn
chosen
Nor Hachn is a town in Armenia known for its location near the Hrazdan River and its association with the country’s jewelry and diamond-cutting industry.
-
B.
Har Nof
Har Nof is a predominantly Haredi Jewish neighborhood in western Jerusalem known for its dense religious community and proximity to scenic forested hills.
-
C.
Nahan
Nahan is a small hill town and municipal council in Himachal Pradesh, India, known for its scenic surroundings, pleasant climate, and role as a regional administrative and commercial center.
-
D.
Harnoi
Harnoi is a scenic riverside tourist spot near Abbottabad in Pakistan, known for its lush green hills, cool climate, and recreational picnic areas.
-
E.
Haabneeme
Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:02 p.m.