Triple
T16075464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV17 |
E389968
|
entity |
| Predicate | hasDamageType |
P92407
|
FINISHED |
| Object | structural cracking |
—
|
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: structural cracking | Statement: [KV17, hasDamageType, structural cracking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDamageType Context triple: [KV17, hasDamageType, structural cracking]
-
A.
hasTypeOfDamage
chosen
Indicates that an entity experiences or exhibits a specific kind or category of damage.
-
B.
coversDamageType
Indicates that one entity provides protection, compensation, or applicability for a specified type of damage.
-
C.
hasCombatType
Indicates that an entity is associated with a particular mode or category of combat it uses or participates in.
-
D.
primaryDamageType
Indicates the main kind of harm or injury that an action, event, or object is responsible for causing.
-
E.
hasTypeOfEffect
Indicates that one entity produces, exhibits, or is associated with a particular kind or category of effect on another entity or 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.