Triple
T8320301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Oswestry Hillfort |
E194813
|
entity |
| Predicate | hasNumberOfRamparts |
P22477
|
FINISHED |
| Object | up to four |
—
|
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: up to four | Statement: [Old Oswestry Hillfort, hasNumberOfRamparts, up to four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfRamparts Context triple: [Old Oswestry Hillfort, hasNumberOfRamparts, up to four]
-
A.
isFortifiedWith
Indicates that one entity has been strengthened, enriched, or supplemented by the addition of another entity.
-
B.
hasFortifications
chosen
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
C.
hasTurrets
Indicates that an entity is equipped with or possesses one or more turrets.
-
D.
containsFortress
Indicates that a location or area includes a fortress within its boundaries.
-
E.
garrisonSize
Indicates the number of troops or defenders stationed at a particular location as its garrison.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f6686a0819094abc2bfd2e500a5 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.