Triple
T19064495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tao-Klarjeti |
E466618
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nigali
Nigali is a historical locality or settlement within the medieval Georgian region of Tao-Klarjeti, known from the context of the Caucasus’ early Christian and feudal history.
|
E1357589
|
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: Nigali | Statement: [Tao-Klarjeti, contains, Nigali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigali Context triple: [Tao-Klarjeti, contains, Nigali]
-
A.
Nisu
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
-
B.
Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
-
C.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
D.
Naigani
Naigani is a small island in Fiji known for its traditional villages, beaches, and location within the Lomaiviti archipelago.
-
E.
Nigdi
Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
- 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: Nigali Triple: [Tao-Klarjeti, contains, Nigali]
Generated description
Nigali is a historical locality or settlement within the medieval Georgian region of Tao-Klarjeti, known from the context of the Caucasus’ early Christian and feudal history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nigali Target entity description: Nigali is a historical locality or settlement within the medieval Georgian region of Tao-Klarjeti, known from the context of the Caucasus’ early Christian and feudal history.
-
A.
Nisu
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
-
B.
Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
-
C.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
D.
Naigani
Naigani is a small island in Fiji known for its traditional villages, beaches, and location within the Lomaiviti archipelago.
-
E.
Nigdi
Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19799d8819099d0b848771ae425 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3569e5881909b6493ce9ac447a5 |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d5c28a708190bf31c547522380db |
completed | May 14, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d74b87048190b02383d4c0769c2d |
completed | May 14, 2026, 2:08 p.m. |
Created at: April 10, 2026, 12:03 p.m.