Triple
T843557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Oklahoma Memorial |
E18228
|
entity |
| Predicate | numberOfHonoredDead |
P4086
|
FINISHED |
| Object | 429 |
—
|
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: 429 | Statement: [USS Oklahoma Memorial, numberOfHonoredDead, 429]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHonoredDead Context triple: [USS Oklahoma Memorial, numberOfHonoredDead, 429]
-
A.
numberOfCommemoratedPersons
chosen
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
B.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
C.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
D.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
E.
notableVictims
Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.