Triple
T12440624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanam Luang |
E297259
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sanam Chai Road |
E986532
|
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: Sanam Chai Road | Statement: [Sanam Luang, borderedBy, Sanam Chai Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanam Chai Road Context triple: [Sanam Luang, borderedBy, Sanam Chai Road]
-
A.
Tha Phae Road
Tha Phae Road is a major historic and commercial street in Chiang Mai, Thailand, known for its shops, guesthouses, and proximity to the old city’s Tha Phae Gate.
-
B.
Din Daeng Road
Din Daeng Road is a major thoroughfare in Bangkok, Thailand, connecting the Victory Monument area with the Din Daeng district and serving as an important urban traffic artery.
-
C.
Mahabandoola Road
Mahabandoola Road is a major thoroughfare in central Yangon, Myanmar, running past key colonial-era landmarks and civic buildings.
-
D.
Panlong Road
Panlong Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
-
E.
Na Phra Lan Road
chosen
Na Phra Lan Road is a historic street in Bangkok’s Rattanakosin Island area, running alongside the Grand Palace and key royal and ceremonial sites.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8ecb6c8190a19cbf9de31cabbd |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66857f5c88190b72debe80fb87727 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:55 p.m.