Triple
T13047196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeastern Thailand |
E327355
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Surin |
E684057
|
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: Surin | Statement: [Northeastern Thailand, containsCity, Surin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surin Context triple: [Northeastern Thailand, containsCity, Surin]
-
A.
Surin
chosen
Surin is a city in northeastern Thailand known for its annual elephant festival and rich Khmer-influenced culture.
-
B.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
-
C.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
D.
Ouanalao
Ouanalao is the indigenous Arawak name historically used for the Caribbean island of Saint Barthélemy.
-
E.
Sutera
Sutera is a historic hilltop town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9805125e481908ed56f708de98a9e |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd8f1308190992c0bd832e1b05e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.