Triple
T315919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutaisi |
E7705
|
entity |
| Predicate | hasUNLOCODE |
P1492
|
FINISHED |
| Object |
GEKUT
GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
|
E40615
|
NE FINISHED |
How this triple was built (4 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: GEKUT | Statement: [Kutaisi, hasUNLOCODE, GEKUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEKUT Context triple: [Kutaisi, hasUNLOCODE, GEKUT]
-
A.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kigensetsu
Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
-
D.
Gelem Gelem
Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
-
E.
Goettsch
Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GEKUT Triple: [Kutaisi, hasUNLOCODE, GEKUT]
Generated description
GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEKUT Target entity description: GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
-
A.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kigensetsu
Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
-
D.
Gelem Gelem
Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
-
E.
Goettsch
Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
- F. None of above. chosen
Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c41c00888190861d2b6d4bfc8904 |
completed | March 1, 2026, 4:44 a.m. |
| NEDg | Description generation | batch_69a3c5cca244819082e9565558f23dbe |
completed | March 1, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c64599ac81908e30e5452cc91b97 |
completed | March 1, 2026, 4:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.