Triple
T1766861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningrad Oblast |
E38781
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kirishi
Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
|
E361289
|
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: Kirishi | Statement: [Leningrad Oblast, containsCity, Kirishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirishi Context triple: [Leningrad Oblast, containsCity, Kirishi]
-
A.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
B.
Yawata
Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
-
C.
Omiya
Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
-
D.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
E.
Hinohara
Hinohara is a rural village in western Tokyo, Japan, known for its mountainous terrain, forests, and outdoor recreation areas.
- 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: Kirishi Triple: [Leningrad Oblast, containsCity, Kirishi]
Generated description
Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirishi Target entity description: Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
-
A.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
B.
Yawata
Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
-
C.
Omiya
Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
-
D.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
E.
Hinohara
Hinohara is a rural village in western Tokyo, Japan, known for its mountainous terrain, forests, and outdoor recreation areas.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646914048190bbe282a3d4768835 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367d99b548190981f471e167198da |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b36b9562a881908e424260db3abeac |
completed | March 13, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36bf6c16481908f95e5f2c2aed5ed |
completed | March 13, 2026, 1:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.