Triple
T7128924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ongjin County |
E166135
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sindo
Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
|
E645372
|
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: Sindo | Statement: [Ongjin County, hasPart, Sindo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sindo Context triple: [Ongjin County, hasPart, Sindo]
-
A.
Sinda
Sinda is a town in eastern Zambia situated along the Great East Road, serving as a local commercial and transit hub for the surrounding rural area.
-
B.
Sowa
Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
-
C.
Anarta
Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
-
D.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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: Sindo Triple: [Ongjin County, hasPart, Sindo]
Generated description
Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sindo Target entity description: Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
-
A.
Sinda
Sinda is a town in eastern Zambia situated along the Great East Road, serving as a local commercial and transit hub for the surrounding rural area.
-
B.
Sowa
Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
-
C.
Anarta
Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
-
D.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66c87848190b0ffd08e3c3f4877 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad8d00848190a5a4b9b64b3426e7 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae0bcfa4819099249fa403bed288 |
completed | March 28, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ae9f8f648190adc5cdf08bc01d93 |
completed | March 28, 2026, 10:34 a.m. |
Created at: March 27, 2026, 2:44 p.m.