Triple
T4226593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Móstoles |
E94472
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Lugo |
E191706
|
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: Lugo | Statement: [Móstoles, hasTwinTown, Lugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lugo Context triple: [Móstoles, hasTwinTown, Lugo]
-
A.
Lugo
chosen
Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
-
B.
Toriano
Toriano is the birth name of Tito Jackson, the American musician and original member of the Jackson 5.
-
C.
San Leonardo
San Leonardo is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
-
D.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
E.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964a388881908038e5a612424b9b |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:04 p.m.