Triple
T14056072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kastellet |
E338221
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | King’s Gate |
E560483
|
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: King’s Gate | Statement: [Kastellet, hasPart, King’s Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King’s Gate Context triple: [Kastellet, hasPart, King’s Gate]
-
A.
King’s Gate
King’s Gate is a monumental Late Bronze Age city gate at the Hittite capital of Hattusa, notable for its massive stone walls and relief of a warrior figure.
-
B.
King’s Gate
King’s Gate is a historic entrance in Salisbury, England, notable for its medieval architecture and role as one of the city’s principal gateways.
-
C.
King's Gate
chosen
King's Gate is a historic entrance within Belgrade Fortress, notable for its defensive architecture and role in the fortification’s access and protection.
-
D.
King's Gate
King's Gate is one of the main fortified gates in the walls of King’s Landing in the world of *A Song of Ice and Fire* and *Game of Thrones*.
-
E.
Queen’s Gate
Queen’s Gate is a major road and affluent residential area in South Kensington, London, known for its grand Victorian architecture and proximity to several museums and royal parks.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.