Triple
T32007577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Mayrant (DD-402) |
E817311
|
entity |
| Predicate | dateOfMajorDamage |
P13733
|
FINISHED |
| Object | 23 July 1943 |
—
|
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: 23 July 1943 | Statement: [USS Mayrant (DD-402), dateOfMajorDamage, 23 July 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfMajorDamage Context triple: [USS Mayrant (DD-402), dateOfMajorDamage, 23 July 1943]
-
A.
dateOfLoss
chosen
Indicates the specific date on which a loss event (such as damage, theft, or other covered incident) occurred.
-
B.
damageYear
Indicates the year in which the damage to an entity occurred or was recorded.
-
C.
damagedIn
Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
-
D.
isMajorDamOf
Indicates that one dam is the primary or most significant dam associated with a particular river, reservoir, or water system.
-
E.
sufferedDamageTo
Indicates that one entity has experienced harm, loss, or deterioration affecting another entity or one of its parts.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 12:15 a.m.