Triple
T14427357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildebrand |
E357729
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Sovana |
E265513
|
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: Sovana | Statement: [Hildebrand, birthPlace, Sovana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sovana Context triple: [Hildebrand, birthPlace, Sovana]
-
A.
Sovana
chosen
Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
-
B.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
-
C.
Solvan
Solvan is a river associated with the town of Lons-le-Saunier in the Jura department of eastern France.
-
D.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
E.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de911398f08190be85bc0a8bef6b1b |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64898c088190ab4eef32ca4f5ed6 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.