Triple
T10795757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuqiu Township |
E254700
|
entity |
| Predicate | hasDefenseInfrastructure |
P22477
|
FINISHED |
| Object | coastal fortifications |
—
|
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: coastal fortifications | Statement: [Wuqiu Township, hasDefenseInfrastructure, coastal fortifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefenseInfrastructure Context triple: [Wuqiu Township, hasDefenseInfrastructure, coastal fortifications]
-
A.
defensiveCapability
Indicates the ability or capacity of an entity to protect itself or others against threats, attacks, or harm.
-
B.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
-
C.
hasFortifications
chosen
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
D.
defenseForces
Indicates a relationship where one entity serves as the military or protective force responsible for defending another entity.
-
E.
requiresForDefense
Indicates that one entity must have or obtain another entity as a necessary condition to provide or maintain defense.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.