Triple
T14472396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Basarab |
E358876
|
entity |
| Predicate | capitalTerritory |
P204
|
FINISHED |
| Object | Târgoviște |
E241787
|
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: Târgoviște | Statement: [House of Basarab, capitalTerritory, Târgoviște]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Târgoviște Context triple: [House of Basarab, capitalTerritory, Târgoviște]
-
A.
Târgoviște
chosen
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
B.
Târgu Ocna
Târgu Ocna is a town in Bacău County, Romania, known for its historic salt mine and spa tourism in the Trotuș Valley.
-
C.
Brasova
Brasova is the surname of Countess Natalia Brasova, a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich of Russia.
-
D.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
E.
Hârșova
Hârșova is a small town in southeastern Romania, situated on the right bank of the Danube River and known for its historical and archaeological significance.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:20 a.m.