Triple
T511810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fortaleza |
E10624
|
entity |
| Predicate | hasDefenseSystem |
P8412
|
FINISHED |
| Object | walls and bastions |
—
|
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: walls and bastions | Statement: [La Fortaleza, hasDefenseSystem, walls and bastions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefenseSystem Context triple: [La Fortaleza, hasDefenseSystem, walls and bastions]
-
A.
airDefenseSystemComponent
Indicates that one entity is a component or subsystem of an air defense system associated with another entity.
-
B.
hasDefenderStrength
Indicates that an entity possesses a certain level or measure of defensive capability or protective power.
-
C.
defensiveStructure
chosen
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
D.
defenseResult
Indicates the outcome or consequence of a defensive action or strategy in response to an attack or threat.
-
E.
typeOfDefense
Indicates the specific kind or category of defense employed or possessed in a given context.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f16768c081909d05537ff070868b |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edff001c81909182a7e26c6dc51b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.