Triple
T35541798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battery Randolph |
E1027080
|
entity |
| Predicate | constructedToDefend |
P111902
|
FINISHED |
| Object | Pearl Harbor |
—
|
NE NERFINISHED |
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: Pearl Harbor | Statement: [Battery Randolph, constructedToDefend, Pearl Harbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructedToDefend Context triple: [Battery Randolph, constructedToDefend, Pearl Harbor]
-
A.
builtToDefendAgainst
chosen
Indicates that something was constructed or designed specifically for the purpose of protecting against or countering a particular threat, entity, or type of attack.
-
B.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
C.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
D.
defenderIn
Indicates that an entity serves as a defensive agent or protector within a specified context, situation, or domain.
-
E.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4:04 p.m.