Triple
T18758828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karluk |
E458716
|
entity |
| Predicate | politicalCenter |
P4751
|
FINISHED |
| Object | Balasagun |
—
|
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: Balasagun | Statement: [Karluk, politicalCenter, Balasagun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balasagun Context triple: [Karluk, politicalCenter, Balasagun]
-
A.
Balasagun
chosen
Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
-
B.
Guzamala
Guzamala is a local government area in Borno State, northeastern Nigeria, known for its rural communities and location within the Lake Chad region.
-
C.
Teneguía
Teneguía is a volcanic cone on the island of La Palma in Spain’s Canary Islands, known for its dramatic 1971 eruption.
-
D.
Toramana
Toramana was a prominent Huna ruler in early 6th-century northern India, known for his extensive military campaigns and significant role in weakening the Gupta Empire.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:52 a.m.