Triple
T8159662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazandaran Province |
E190543
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Chalus |
E714511
|
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: Chalus | Statement: [Mazandaran Province, hasCity, Chalus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalus Context triple: [Mazandaran Province, hasCity, Chalus]
-
A.
Chalus
chosen
Chalus is a coastal city in northern Iran on the Caspian Sea, known for its scenic landscapes and as a popular tourist destination.
-
B.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
C.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
D.
Chandax
Chandax is the medieval name of the city now known as Heraklion, a major port and historical center on the island of Crete.
-
E.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb45537d248190a0e998b6d336e6e1 |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf21ab2c8190af23b4a3a4bdb543 |
completed | April 1, 2026, 6:45 a.m. |
Created at: March 30, 2026, 5:38 p.m.