Triple
T14247337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 |
E353168
|
entity |
| Predicate | notableStation |
P3858
|
FINISHED |
| Object | Hősök tere |
E349626
|
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: Hősök tere | Statement: [M1, notableStation, Hősök tere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hősök tere Context triple: [M1, notableStation, Hősök tere]
-
A.
Hősök tere
chosen
Hősök tere is a major historic square in Budapest, Hungary, famed for its Millennium Monument and statues honoring national leaders and heroes.
-
B.
Örs vezér tere
Örs vezér tere is a major transport hub and public square in Budapest that serves as the eastern terminus of the city’s M2 metro line and a key interchange for buses, trams, and suburban rail.
-
C.
Hősök tere, Budapest
Hősök tere, Budapest is a grand, historic square in Hungary’s capital city, renowned for its Millennium Monument and statues honoring national leaders and heroes.
-
D.
Hrdinové táhnou do boje
Hrdinové táhnou do boje is a satirical novel by Czech writer Karel Poláček that humorously depicts the lives and attitudes of ordinary people during the First World War.
-
E.
Eroilor
Eroilor is a major Bucharest Metro interchange station serving multiple lines near the city center.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.