Triple
T31745432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table Mountain (Crug Hywel) |
E810257
|
entity |
| Predicate | hasDefensiveEarthworks |
P22477
|
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: [Table Mountain (Crug Hywel), hasDefensiveEarthworks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefensiveEarthworks Context triple: [Table Mountain (Crug Hywel), hasDefensiveEarthworks, true]
-
A.
hasFortifications
chosen
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
B.
wasFortifiedBy
Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
-
C.
hasFortificationsFrom
Indicates that an entity possesses or is protected by fortifications that originate from or were constructed by another specified source or period.
-
D.
geographicFeatureDefended
Indicates that an entity actively protects, guards, or defends a specific geographic feature (such as a landform, body of water, or region) from threat or harm.
-
E.
fortressDefended
Indicates that a fortress is actively protected against threats or attacks by some defending force.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 30, 2026, 11:26 p.m.