Triple
T13856589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linas |
E333080
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object | Nozay |
E333077
|
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: Nozay | Statement: [Linas, nearbyCommune, Nozay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nozay Context triple: [Linas, nearbyCommune, Nozay]
-
A.
Nozay
chosen
Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
-
B.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
C.
Nouel
Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Nohar
Nohar is a prominent town in Rajasthan, India, known as an important local center for trade and agriculture within the Hanumangarh region.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.