Triple
T16633246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didube Pantheon |
E404129
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tbilisi urban area |
E19766
|
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: Tbilisi urban area | Statement: [Didube Pantheon, partOf, Tbilisi urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tbilisi urban area Context triple: [Didube Pantheon, partOf, Tbilisi urban area]
-
A.
Tbilisi
chosen
Tbilisi is the largest city and cultural, political, and economic center of Georgia, located on the banks of the Kura River in the South Caucasus.
-
B.
Zugdidi
Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
-
C.
Batumi
Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
-
D.
Marneuli
Marneuli is a town in southern Georgia known for its ethnically diverse population, particularly its large Azerbaijani community, and its role as an agricultural and regional trade center.
-
E.
Kabilasi
Kabilasi is a municipality-level town located in southeastern Nepal’s Madhesh Province, near the border with India.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb00b14c819093925c109913322c |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:17 a.m.