Triple
T9527022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungro |
E229783
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Lungro |
E229783
|
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: Lungro | Statement: [Lungro, hasLocalName, Lungro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lungro Context triple: [Lungro, hasLocalName, Lungro]
-
A.
Lungro
chosen
Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
-
B.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
C.
Lambi
Lambi is a small coastal village on the Faroe Islands, located on the island of Eysturoy.
-
D.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
E.
Longare
Longare is a municipality in the Veneto region of northern Italy, situated near Vicenza in a landscape shaped by the Bacchiglione River and surrounding hills.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.