Triple
T1665825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Former French Concession |
E36009
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xintiandi |
E37624
|
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: Xintiandi | Statement: [Former French Concession, contains, Xintiandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xintiandi Context triple: [Former French Concession, contains, Xintiandi]
-
A.
Xintiandi
chosen
Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
-
B.
Guangchang
Guangchang is a Chinese given name most notably borne by Guo Guangchang, a prominent Chinese billionaire entrepreneur and chairman of the Fosun conglomerate.
-
C.
Heavenly Palace
Heavenly Palace is the English meaning of "Tiangong," the name of China’s modular space station in low Earth orbit.
-
D.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
-
E.
Kuanzhai Alleys
Kuanzhai Alleys is a historic district in Chengdu known for its preserved Qing Dynasty courtyards, traditional architecture, and vibrant mix of teahouses, shops, and street food.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adacf0481909fc2213567a4a8af |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71adb0388190b358e83fa8dfaef5 |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.