Triple
T9926481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro Line 2 |
E187935
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Haizhu Square |
E783127
|
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: Haizhu Square | Statement: [Guangzhou Metro Line 2, connects, Haizhu Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haizhu Square Context triple: [Guangzhou Metro Line 2, connects, Haizhu Square]
-
A.
Haizhu Square
chosen
Haizhu Square is a prominent public square and commercial area in central Guangzhou, China, known as a major transportation and shopping hub along the Pearl River.
-
B.
Panyu Square
Panyu Square is a major transportation and commercial hub in Guangzhou’s Panyu District, serving as a key southern gateway to the city.
-
C.
Pazhou Complex
Pazhou Complex is a major modern convention and exhibition center in Guangzhou, China, best known as the primary venue for the China Import and Export Fair (Canton Fair).
-
D.
Xinghai Square
Xinghai Square is a vast seaside city square in Dalian, China, known as one of the largest urban squares in the world and a major cultural and tourist attraction.
-
E.
Xintiandi
Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb599e32c8190ac676fa89c131bb6 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.