Triple
T8573327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaj |
E202981
|
entity |
| Predicate | hasNearbyNaturalFeature |
P2064
|
FINISHED |
| Object | Karaj River valley |
E709073
|
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: Karaj River valley | Statement: [Karaj, hasNearbyNaturalFeature, Karaj River valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karaj River valley Context triple: [Karaj, hasNearbyNaturalFeature, Karaj River valley]
-
A.
Rudkhanat-e-Shahrood valley
Rudkhanat-e-Shahrood valley is a river valley in Iran known for its rugged natural landscapes and location within the Alborz mountain region.
-
B.
Qazvin plain
Qazvin plain is a fertile agricultural lowland in northwestern Iran known for its extensive farmlands and strategic location near the Alborz Mountains.
-
C.
Karaj River
chosen
The Karaj River is a major river in northern Iran that flows through Alborz Province and supplies water and hydroelectric power to the Tehran region.
-
D.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
E.
Aradan
Aradan is a small city in Iran known for its location in Semnan Province along the historical route between Tehran and eastern regions.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea458c1081908e79bee2cbf97207 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea88464b88190983e22e70bf38e63 |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:21 p.m.