Triple
T8794522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal council of Lisse |
E209254
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Lisse |
E39153
|
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: Lisse | Statement: [municipal council of Lisse, governs, Lisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisse Context triple: [municipal council of Lisse, governs, Lisse]
-
A.
Lisse
chosen
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
-
B.
Lisses
Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
C.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
-
D.
Litzlitz
Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
-
E.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa0c6008190a5c4d87510ad5bbd |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa046aabc8190abca2957593edc8b |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:43 p.m.