Triple
T2888816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dila |
E59569
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Dila Gori |
E59175
|
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: Dila Gori | Statement: [Dila, shortName, Dila Gori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dila Gori Context triple: [Dila, shortName, Dila Gori]
-
A.
Dila Gori
chosen
Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
-
B.
Kharagauli
Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
-
C.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
D.
Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
-
E.
Shaikhan Dheri
Shaikhan Dheri is an important archaeological site in the Charsadda region of Pakistan, known for remains linked to ancient Gandhara and early historic urban settlements.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03179d7448190bcdbea164856aaa2 |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:04 p.m.