Triple
T6785981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonial Zone |
E155802
|
entity |
| Predicate | hasCityWallRemnants |
P29117
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Colonial Zone, hasCityWallRemnants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityWallRemnants Context triple: [Colonial Zone, hasCityWallRemnants, true]
-
A.
hasHistoricTownWallsRemnants
chosen
Indicates that remnants of historic town walls are present and associated with the subject entity.
-
B.
hasPeaceWalls
Indicates that there exist physical barriers or walls separating groups or areas to reduce or prevent conflict or violence between them.
-
C.
hasCastleRemains
Indicates that one entity possesses or contains the remaining structures or ruins of a castle associated with it.
-
D.
hasPreservedBuildings
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
-
E.
passesHistoricCity
Indicates that a route, path, or entity travels through or goes by a city recognized for its historical significance.
- F. None of above.
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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.