Triple
T12675445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Liner |
E302798
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Sannomiya |
E185453
|
NE FINISHED |
How this triple was built (2 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: Sannomiya | Statement: [Port Liner, hasTerminus, Sannomiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sannomiya Context triple: [Port Liner, hasTerminus, Sannomiya]
-
A.
Sannomiya
chosen
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
B.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
C.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
D.
Miyakoan
Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
-
E.
Omishima
Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e6bc748190b8099e7559569a90 |
completed | May 10, 2026, 6:29 a.m. |
Created at: April 9, 2026, 5:20 p.m.