Triple
T788273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mekong River |
E16852
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Luang Prabang |
E65079
|
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: Luang Prabang | Statement: [Mekong River, majorCityOnRiver, Luang Prabang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luang Prabang Context triple: [Mekong River, majorCityOnRiver, Luang Prabang]
-
A.
Luang Prabang
chosen
Luang Prabang is a historic city in northern Laos renowned for its well-preserved Buddhist temples, traditional architecture, and UNESCO World Heritage status.
-
B.
Vientiane
Vientiane is the capital and largest city of Laos, situated along the Mekong River near the border with Thailand.
-
C.
Phnom Penh
Phnom Penh is the capital and largest city of Cambodia, known for its location at the confluence of the Mekong and Tonlé Sap rivers and its blend of French colonial and Khmer architecture.
-
D.
Chiang Mai
Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
-
E.
Pattaya
Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a782fe988190966b958673fe12bf |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6891fb80481909ed2ce30789c945e |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.