Triple
T23263363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace Towers |
E582072
|
entity |
| Predicate | hasFortificationRole |
P151592
|
FINISHED |
| Object | defensive structure |
—
|
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: defensive structure | Statement: [Palace Towers, hasFortificationRole, defensive structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFortificationRole Context triple: [Palace Towers, hasFortificationRole, defensive structure]
-
A.
hasFortifications
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
B.
isFortifiedWith
Indicates that one entity has been strengthened, enriched, or supplemented by the addition of another entity.
-
C.
hasFortificationNearby
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
-
D.
isFortifiedCity
Indicates that a city is strengthened with defensive structures or fortifications, such as walls, ramparts, or similar protective works.
-
E.
wasFortifiedBy
Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
- F. None of above. chosen
Provenance (4 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194caaf208190931923744692180d |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:11 p.m.