Triple
T8256254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesrop Mashtots |
E193076
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Hatsekats
Hatsekats is a village in Armenia known historically as the birthplace of the Armenian alphabet creator Mesrop Mashtots.
|
E721149
|
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: Hatsekats | Statement: [Mesrop Mashtots, placeOfBirth, Hatsekats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatsekats Context triple: [Mesrop Mashtots, placeOfBirth, Hatsekats]
-
A.
Hitakatsu
Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
-
B.
Otsunegoten
Otsunegoten is a historically significant residence within the Kyoto Imperial Palace complex, associated with the Japanese imperial family.
-
C.
Hayakaken
Hayakaken is a rechargeable contactless smart card used for public transportation in the Fukuoka area of Japan.
-
D.
Hanacaraka
Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
-
E.
Haikasoru
Haikasoru is a publishing imprint of Viz Media that specializes in translating and releasing Japanese science fiction and fantasy novels in English.
- 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: Hatsekats Triple: [Mesrop Mashtots, placeOfBirth, Hatsekats]
Generated description
Hatsekats is a village in Armenia known historically as the birthplace of the Armenian alphabet creator Mesrop Mashtots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatsekats Target entity description: Hatsekats is a village in Armenia known historically as the birthplace of the Armenian alphabet creator Mesrop Mashtots.
-
A.
Hitakatsu
Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
-
B.
Otsunegoten
Otsunegoten is a historically significant residence within the Kyoto Imperial Palace complex, associated with the Japanese imperial family.
-
C.
Hayakaken
Hayakaken is a rechargeable contactless smart card used for public transportation in the Fukuoka area of Japan.
-
D.
Hanacaraka
Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
-
E.
Haikasoru
Haikasoru is a publishing imprint of Viz Media that specializes in translating and releasing Japanese science fiction and fantasy novels in English.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fb91d08190904c59ccc0cd444a |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3553b48881909cc72e443aad9539 |
completed | April 1, 2026, 3:10 p.m. |
| NEDg | Description generation | batch_69cd37a7ea30819094b1c140868fab5f |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4f0055dc8190803a7c412533aec4 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:49 p.m.