Triple
T10668077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sila Mountains |
E251408
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | La Sila |
E299329
|
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: La Sila | Statement: [Sila Mountains, nativeName, La Sila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Sila Context triple: [Sila Mountains, nativeName, La Sila]
-
A.
Sila
chosen
Sila is a mountainous plateau in Calabria, southern Italy, known for its dense forests, lakes, and national park.
-
B.
Sihala
Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
-
C.
Aricia
Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
-
D.
Syacium
Syacium is a genus of lefteye flounders, a group of bottom-dwelling flatfishes found primarily in coastal and continental shelf waters of the Americas.
-
E.
Shilha
Shilha is a major Berber (Amazigh) language of southwestern Morocco, spoken primarily by the Shilha people in the Atlas and Anti-Atlas regions.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
Created at: April 8, 2026, 9:08 p.m.