Triple
T20217232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trade Center-mae Station |
E495158
|
entity |
| Predicate | servesFacility |
P26183
|
FINISHED |
| Object | Intex Osaka |
—
|
NE NERFINISHED |
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: Intex Osaka | Statement: [Trade Center-mae Station, servesFacility, Intex Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intex Osaka Context triple: [Trade Center-mae Station, servesFacility, Intex Osaka]
-
A.
Intex Osaka
Intex Osaka is one of Japan’s largest international exhibition and convention centers, located in Osaka and hosting trade shows, conferences, and large-scale events.
-
B.
INTEX Osaka
chosen
INTEX Osaka is a major international exhibition and convention center located in Osaka, Japan, hosting large-scale trade shows, conferences, and events.
-
C.
Magura
Magura is a town and district headquarters in southwestern Bangladesh known for its agricultural surroundings and location within the Khulna Division.
-
D.
Magura
Magura is a mountain peak in the Kysucké Beskydy range of northern Slovakia, known for its forested slopes and scenic hiking routes.
-
E.
Aqua Seal
Aqua Seal is a popular Make Up For Ever mixing medium that transforms powders and pigments into long-lasting, waterproof formulas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66eda2f188190adf39d895e8b99f2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.