Triple
T3846347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyšehrad |
E93578
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tabor Gate
Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
|
E393454
|
NE FINISHED |
How this triple was built (4 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: Tabor Gate | Statement: [Vyšehrad, hasPart, Tabor Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabor Gate Context triple: [Vyšehrad, hasPart, Tabor Gate]
-
A.
Valley Gates
Valley Gates is a notable entrance area within Franklin Park in Boston, serving as one of the park’s key access points and landscape features.
-
B.
Great Gate
The Great Gate is the iconic main entrance to Christ's College, Cambridge, notable for its historic architecture and prominent position on St Andrew's Street.
-
C.
Great Gate
The Great Gate is the grand main entrance to Hanoi’s historic Temple of Literature, marking the ceremonial threshold to Vietnam’s first national university.
-
D.
Burgtor
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
E.
Foog’s Gate
Foog’s Gate is a historic entrance within Edinburgh Castle, serving as one of the main access points to the fortress complex.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tabor Gate Triple: [Vyšehrad, hasPart, Tabor Gate]
Generated description
Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabor Gate Target entity description: Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
-
A.
Valley Gates
Valley Gates is a notable entrance area within Franklin Park in Boston, serving as one of the park’s key access points and landscape features.
-
B.
Great Gate
The Great Gate is the grand main entrance to Hanoi’s historic Temple of Literature, marking the ceremonial threshold to Vietnam’s first national university.
-
C.
Great Gate
The Great Gate is the iconic main entrance to Christ's College, Cambridge, notable for its historic architecture and prominent position on St Andrew's Street.
-
D.
Burgtor
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
E.
Foog’s Gate
Foog’s Gate is a historic entrance within Edinburgh Castle, serving as one of the main access points to the fortress complex.
- F. None of above. chosen
Provenance (5 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504a31de08190b543549a2b05b038 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5084c8bd48190b7afc80bed196c90 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.