Triple
T5807379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Brabant |
E128778
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tienen |
E222533
|
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: Tienen | Statement: [Flemish Brabant, contains, Tienen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tienen Context triple: [Flemish Brabant, contains, Tienen]
-
A.
Tienen
chosen
Tienen is a historic city in the Flemish province of Flemish Brabant in Belgium, known for its sugar industry and medieval heritage.
-
B.
Tous
Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
-
C.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
-
D.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
-
E.
Tías
Tías is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for the popular tourist resort of Puerto del Carmen.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.