Triple
T13012452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nezu |
E322452
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object |
Hongo
Hongo is a historic district in Bunkyo, Tokyo, known for its academic institutions, including the main campus of the University of Tokyo.
|
E1015491
|
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: Hongo | Statement: [Nezu, hasNearbyArea, Hongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongo Context triple: [Nezu, hasNearbyArea, Hongo]
-
A.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
B.
Fungo
Fungo is the costumed team mascot of the New Hampshire Fisher Cats minor league baseball club, entertaining fans at games and community events.
-
C.
Myko
Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
-
D.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
E.
Mukrang
Mukrang is a principal deity revered in the Hemphu-Mukrang religious tradition of the Karbi people of Northeast India.
- 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: Hongo Triple: [Nezu, hasNearbyArea, Hongo]
Generated description
Hongo is a historic district in Bunkyo, Tokyo, known for its academic institutions, including the main campus of the University of Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hongo Target entity description: Hongo is a historic district in Bunkyo, Tokyo, known for its academic institutions, including the main campus of the University of Tokyo.
-
A.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
B.
Fungo
Fungo is the costumed team mascot of the New Hampshire Fisher Cats minor league baseball club, entertaining fans at games and community events.
-
C.
Myko
Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
-
D.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
E.
Mukrang
Mukrang is a principal deity revered in the Hemphu-Mukrang religious tradition of the Karbi people of Northeast India.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10d5b9881909db688c1ab0e6a77 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 9, 2026, 8:49 p.m.