Triple
T18182393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanbu clan |
E435320
|
entity |
| Predicate | ruledTerritory |
P10006
|
FINISHED |
| Object |
Kita District
Kita District is a historical administrative region in Japan that once formed part of the Nanbu clan’s feudal domain in the Tōhoku area.
|
E1310909
|
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: Kita District | Statement: [Nanbu clan, ruledTerritory, Kita District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kita District Context triple: [Nanbu clan, ruledTerritory, Kita District]
-
A.
Kejayan District
Kejayan District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
-
B.
Ngantang District
Ngantang District is an administrative district in East Java, Indonesia, known for its highland landscapes and the presence of the Selorejo Dam and reservoir.
-
C.
Airin district
Airin district is a poverty-stricken area in Osaka’s Nishinari Ward known for its large day-laborer population, cheap lodging houses, and visible homelessness.
-
D.
South Kuta District
South Kuta District is a popular coastal area in southern Bali, Indonesia, known for its major tourist destinations such as Nusa Dua, Jimbaran, and Uluwatu.
-
E.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
- 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: Kita District Triple: [Nanbu clan, ruledTerritory, Kita District]
Generated description
Kita District is a historical administrative region in Japan that once formed part of the Nanbu clan’s feudal domain in the Tōhoku area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kita District Target entity description: Kita District is a historical administrative region in Japan that once formed part of the Nanbu clan’s feudal domain in the Tōhoku area.
-
A.
Kejayan District
Kejayan District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
-
B.
Ngantang District
Ngantang District is an administrative district in East Java, Indonesia, known for its highland landscapes and the presence of the Selorejo Dam and reservoir.
-
C.
Airin district
Airin district is a poverty-stricken area in Osaka’s Nishinari Ward known for its large day-laborer population, cheap lodging houses, and visible homelessness.
-
D.
South Kuta District
South Kuta District is a popular coastal area in southern Bali, Indonesia, known for its major tourist destinations such as Nusa Dua, Jimbaran, and Uluwatu.
-
E.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffc432c8190af53da5256dc476c |
completed | April 19, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980112908190bbc5371ce2b8a028 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398dd1d50819087d16ad6f09ef063 |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03998369648190ae2e84ba56827473 |
completed | May 12, 2026, 9:20 p.m. |
Created at: April 10, 2026, 10:31 a.m.