Triple
T7053427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gornji Grad |
E164025
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stone Gate
Stone Gate is a historic medieval city gate in Zagreb’s Upper Town, renowned as a religious shrine and one of the city’s most iconic landmarks.
|
E640695
|
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: Stone Gate | Statement: [Gornji Grad, contains, Stone Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stone Gate Context triple: [Gornji Grad, contains, Stone 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.
Sainyar Gate
Sainyar Gate is one of the historic entrance gates of Jhansi Fort, associated with the fort’s defensive architecture and its role in the 1857 Indian Rebellion.
-
C.
Orpen Gate
Orpen Gate is one of the main western entrances to South Africa’s Kruger National Park, providing access to popular wildlife viewing areas and rest camps.
-
D.
Tabor Gate
Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
-
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: Stone Gate Triple: [Gornji Grad, contains, Stone Gate]
Generated description
Stone Gate is a historic medieval city gate in Zagreb’s Upper Town, renowned as a religious shrine and one of the city’s most iconic landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stone Gate Target entity description: Stone Gate is a historic medieval city gate in Zagreb’s Upper Town, renowned as a religious shrine and one of the city’s most iconic landmarks.
-
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.
Sainyar Gate
Sainyar Gate is one of the historic entrance gates of Jhansi Fort, associated with the fort’s defensive architecture and its role in the 1857 Indian Rebellion.
-
C.
Orpen Gate
Orpen Gate is one of the main western entrances to South Africa’s Kruger National Park, providing access to popular wildlife viewing areas and rest camps.
-
D.
Tabor Gate
Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
-
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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e265ea348190a9bd3807c0d605d8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7944535bc819086b7648d95b81e37 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c7968ffb8881908e2d2138e114a1ba |
completed | March 28, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c796f045d88190aa5d26899333013c |
completed | March 28, 2026, 8:53 a.m. |
Created at: March 27, 2026, 2:37 p.m.