Triple
T17162576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fakhr al-Dawla |
E416516
|
entity |
| Predicate | reignOver |
P403
|
FINISHED |
| Object | Gurgan |
E1134693
|
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: Gurgan | Statement: [Fakhr al-Dawla, reignOver, Gurgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurgan Context triple: [Fakhr al-Dawla, reignOver, Gurgan]
-
A.
Gurgan
chosen
Gurgan was an important ancient city in the region of Hyrcania, near the southeastern coast of the Caspian Sea, that served as a key political and strategic center in late antiquity.
-
B.
Gaziemir
Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
-
C.
Gulbene
Gulbene is a small town in northeastern Latvia known as a local administrative center and for its historic narrow-gauge railway.
-
D.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
-
E.
Ceynowa
Ceynowa is a Polish surname most notably associated with Florian Ceynowa, a 19th-century Kashubian activist and writer.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.