Triple
T11512721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comune di Galeata |
E272953
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Galeata |
E52632
|
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: Galeata | Statement: [Comune di Galeata, capital, Galeata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galeata Context triple: [Comune di Galeata, capital, Galeata]
-
A.
Galeata
chosen
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
B.
Jahaz
Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
-
C.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
-
D.
Trimsaran
Trimsaran is a former coal-mining village in Carmarthenshire, Wales, known for its industrial heritage and rural setting.
-
E.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71362e59481909675a1a784dcf7fd |
completed | April 21, 2026, 6:04 a.m. |
Created at: April 8, 2026, 9:36 p.m.