Triple
T21379155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thitu Island |
E527295
|
entity |
| Predicate | hasDefensiveStructures |
P22477
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Thitu Island, hasDefensiveStructures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefensiveStructures Context triple: [Thitu Island, hasDefensiveStructures, yes]
-
A.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
B.
shareDefenseStructure
Indicates that two or more entities utilize or are protected by the same defensive structure or system.
-
C.
hasFortifications
chosen
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
D.
builtToDefendAgainst
Indicates that something was constructed or designed specifically for the purpose of protecting against or countering a particular threat, entity, or type of attack.
-
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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cb138081909bcbf295483656cb |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:11 p.m.