Triple
T30643853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Canaveral Air Force Station Space Launch Complex 17 |
E780065
|
entity |
| Predicate | demolitionOfTowers |
P132139
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Cape Canaveral Air Force Station Space Launch Complex 17, demolitionOfTowers, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionOfTowers Context triple: [Cape Canaveral Air Force Station Space Launch Complex 17, demolitionOfTowers, 2018]
-
A.
towerDemolishedIn
chosen
Indicates that a tower was demolished at, or during an event occurring in, a specified location or time.
-
B.
mostStructuresDemolished
Indicates that the subject is the entity responsible for demolishing the greatest number of structures within a given context or set.
-
C.
fortressDemolishedIn
Indicates that a fortress was demolished or destroyed during a specified time or event.
-
D.
demolishedAsResultOf
Indicates that one entity was demolished as a direct consequence or outcome of another event, action, or condition.
-
E.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a57cc808190830b6ca9b5b83468 |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:29 p.m.