Triple
T14602473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy Area of Beijing |
E342736
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sanlitun |
E342733
|
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: Sanlitun | Statement: [Embassy Area of Beijing, locatedNear, Sanlitun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanlitun Context triple: [Embassy Area of Beijing, locatedNear, Sanlitun]
-
A.
Sanlitun
chosen
Sanlitun is a popular commercial and nightlife area in Beijing known for its bars, shopping centers, and vibrant expatriate scene.
-
B.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
An Suca
An Suca is the Irish-language name for the River Suck, a major tributary of the River Shannon in western Ireland.
-
E.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.