Triple
T17463700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juyongguan |
E425221
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object | barbican |
—
|
NE NERFINISHED |
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: barbican | Statement: [Juyongguan, hasStructure, barbican]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: barbican Context triple: [Juyongguan, hasStructure, barbican]
-
A.
barbican
chosen
A barbican is a fortified outwork or defensive gateway, typically positioned in front of a castle or city wall to protect its main entrance.
-
B.
Barrière de Belleville
Barrière de Belleville was a former tax-collecting gate in Paris that served as one of the entry points through the city’s 18th-century Wall of the Farmers-General.
-
C.
Porte de Paris
Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
-
D.
Porte de Paris
Porte de Paris is a historic city gate in Villeneuve-sur-Lot, France, notable for its preserved medieval architecture and role as a symbolic entrance to the old town.
-
E.
Carré
Carré is the family name of the renowned British espionage novelist John le Carré, famed for his intricate spy thrillers set during and after the Cold War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a5bba08190b61a21fa7538ed69 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.