Triple
T3788093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simatai section |
E85576
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Gubeikou town |
E328092
|
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: Gubeikou town | Statement: [Simatai section, accessibleFrom, Gubeikou town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gubeikou town Context triple: [Simatai section, accessibleFrom, Gubeikou town]
-
A.
Gubeikou
chosen
Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
-
B.
Xikou Town
Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
-
C.
Zhushikou
Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
-
D.
Gaojing Town
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
-
E.
Luojing Town
Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42f4dd08190be10d0113aab4249 |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05031cc8190825105f77dd76438 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.