Triple
T19927192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avlabari |
E478955
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Avlabari district |
—
|
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: Avlabari district | Statement: [Avlabari, serves, Avlabari district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avlabari district Context triple: [Avlabari, serves, Avlabari district]
-
A.
Avlabari district
chosen
Avlabari district is a historic neighborhood in Tbilisi, Georgia, known as a cultural and religious center of the city.
-
B.
Chakhansur District
Chakhansur District is an administrative district in southwestern Afghanistan known for its arid landscape and location near the Iranian border.
-
C.
Barmal District
Barmal District is an administrative district in southeastern Afghanistan, located within Paktika Province near the border with Pakistan.
-
D.
Ambar District
Ambar District is an administrative district located within Huaura Province in the Lima Region of Peru.
-
E.
Fularji District
Fularji District is an urban district of Qiqihar in Heilongjiang Province, China, known for its industrial base and role in the region’s heavy industry.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.