Triple
T11015818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gucun Park |
E260360
|
entity |
| Predicate | hasPublicTransportConnection |
P3791
|
FINISHED |
| Object | Gucun Park Station |
E739553
|
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: Gucun Park Station | Statement: [Gucun Park, hasPublicTransportConnection, Gucun Park Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gucun Park Station Context triple: [Gucun Park, hasPublicTransportConnection, Gucun Park Station]
-
A.
Gucun Park station
chosen
Gucun Park station is a Shanghai Metro interchange station serving the Gucun Park area in Baoshan District.
-
B.
Lu Xun Park Station
Lu Xun Park Station is a metro station in Shanghai, China, serving the area around the historic Lu Xun Park in Hongkou District.
-
C.
Dongchun Station
Dongchun Station is a subway station located in the Yeonsu District of Incheon, South Korea, serving local commuters and connecting them to the wider metropolitan transit network.
-
D.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
-
E.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.