Triple
T12058986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojo Ohashi |
E287115
|
entity |
| Predicate | isPartOfRoute |
P6309
|
FINISHED |
| Object |
Gojo Street
Gojo Street is a major thoroughfare in Kyoto, Japan, known for connecting key districts and crossing the Kamo River via the historic Gojo Ohashi Bridge.
|
E961652
|
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: Gojo Street | Statement: [Gojo Ohashi, isPartOfRoute, Gojo Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gojo Street Context triple: [Gojo Ohashi, isPartOfRoute, Gojo Street]
-
A.
Baki
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
-
B.
Bakurochō
Bakurochō is a commercial district in Tokyo known historically as a wholesale textile and clothing center with convenient access to major rail and transit lines.
-
C.
Goro
Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
-
D.
Goro
Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
-
E.
Koenji
Koenji is a lively Tokyo neighborhood known for its vintage clothing shops, underground music scene, and numerous small bars and eateries.
- 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: Gojo Street Triple: [Gojo Ohashi, isPartOfRoute, Gojo Street]
Generated description
Gojo Street is a major thoroughfare in Kyoto, Japan, known for connecting key districts and crossing the Kamo River via the historic Gojo Ohashi Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gojo Street Target entity description: Gojo Street is a major thoroughfare in Kyoto, Japan, known for connecting key districts and crossing the Kamo River via the historic Gojo Ohashi Bridge.
-
A.
Baki
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
-
B.
Bakurochō
Bakurochō is a commercial district in Tokyo known historically as a wholesale textile and clothing center with convenient access to major rail and transit lines.
-
C.
Goro
Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
-
D.
Goro
Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
-
E.
Koenji
Koenji is a lively Tokyo neighborhood known for its vintage clothing shops, underground music scene, and numerous small bars and eateries.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49df216bc8190933e08f495f4d22f |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.