Triple
T8109315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ploiești Sud railway station |
E189306
|
entity |
| Predicate | connectsToCity |
P4245
|
FINISHED |
| Object | Mizil |
E719719
|
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: Mizil | Statement: [Ploiești Sud railway station, connectsToCity, Mizil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mizil Context triple: [Ploiești Sud railway station, connectsToCity, Mizil]
-
A.
Mizil
chosen
Mizil is a small town in southern Romania known for its location in Prahova County and its historical role as a local trade and wine-producing center.
-
B.
Mijas
Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
-
C.
Muskiz
Muskiz is a coastal municipality in the province of Biscay in Spain’s Basque Country, known for its industrial facilities and nearby beaches.
-
D.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
E.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fbc57c81908c6be87bbc547085 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3438ae2481909549a05f195cda39 |
completed | April 1, 2026, 3:05 p.m. |
Created at: March 30, 2026, 5:32 p.m.