Triple
T13328965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmine |
E317517
|
entity |
| Predicate | etymologicallyRelatedTo |
P5801
|
FINISHED |
| Object | Karmel |
E320971
|
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: Karmel | Statement: [Carmine, etymologicallyRelatedTo, Karmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karmel Context triple: [Carmine, etymologicallyRelatedTo, Karmel]
-
A.
El Carmel
El Carmel is a Barcelona neighborhood metro station situated on a hillside and known for its deep underground platforms and multiple escalators and elevators.
-
B.
Carmel
chosen
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
C.
Mompeo
Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
D.
Minley
Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
-
E.
Kahana
Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992e4f908190a6f172bf910cffb8 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f329e148190a7741344b27ea663 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.