Triple
T13444573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekvtime Takaishvili Museum in Likhauri |
E320446
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Likhauri
Likhauri is a village in western Georgia known for its cultural heritage, including the Ekvtime Takaishvili Museum.
|
E1041785
|
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: Likhauri | Statement: [Ekvtime Takaishvili Museum in Likhauri, locatedIn, Likhauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Likhauri Context triple: [Ekvtime Takaishvili Museum in Likhauri, locatedIn, Likhauri]
-
A.
Loharu
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
-
B.
Dhala
Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
-
C.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
D.
Thakurli
Thakurli is a suburban railway station and locality in the Mumbai Metropolitan Region, situated between Dombivli and Kalyan on the Mumbai Suburban Railway network.
-
E.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
- 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: Likhauri Triple: [Ekvtime Takaishvili Museum in Likhauri, locatedIn, Likhauri]
Generated description
Likhauri is a village in western Georgia known for its cultural heritage, including the Ekvtime Takaishvili Museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Likhauri Target entity description: Likhauri is a village in western Georgia known for its cultural heritage, including the Ekvtime Takaishvili Museum.
-
A.
Loharu
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
-
B.
Dhala
Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
-
C.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
D.
Thakurli
Thakurli is a suburban railway station and locality in the Mumbai Metropolitan Region, situated between Dombivli and Kalyan on the Mumbai Suburban Railway network.
-
E.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee881888190811ddf01bc699864 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739965ef081909e85881ce805bbb5 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f740e536d48190af369b38aa42438d |
completed | May 3, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f741b72d08819087808bf9bcffa0a1 |
completed | May 3, 2026, 12:38 p.m. |
Created at: April 9, 2026, 9:40 p.m.