Triple
T21018301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarafshan River valley |
E517736
|
entity |
| Predicate | majorCityInValley |
P50537
|
FINISHED |
| Object | Panjakent |
—
|
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: Panjakent | Statement: [Zarafshan River valley, majorCityInValley, Panjakent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panjakent Context triple: [Zarafshan River valley, majorCityInValley, Panjakent]
-
A.
Panjikent
chosen
Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
-
B.
Baran city
Baran city is an urban center in the Indian state of Rajasthan known for serving as the main administrative and commercial hub of the surrounding Baran district.
-
C.
Havsa
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
-
D.
Handan City
Handan City is a prefecture-level city in southern Hebei Province, China, known for its long history as an ancient capital and important cultural and industrial center.
-
E.
Mustafakemalpaşa
Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.