Triple
T31247997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th U.S. Artillery |
E796741
|
entity |
| Predicate | batteryDesignation |
P172546
|
FINISHED |
| Object | Battery A, 4th U.S. Artillery |
—
|
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: Battery A, 4th U.S. Artillery | Statement: [4th U.S. Artillery, batteryDesignation, Battery A, 4th U.S. Artillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batteryDesignation Context triple: [4th U.S. Artillery, batteryDesignation, Battery A, 4th U.S. Artillery]
-
A.
batteryType
Indicates the specific kind or category of battery associated with or used by an entity.
-
B.
secondaryBatteryType
Indicates the type or category of a secondary (backup or auxiliary) battery associated with an entity.
-
C.
secondaryBattery
Indicates that an entity has a secondary battery system or backup power source in addition to its primary battery.
-
D.
hasInternalBattery
Indicates that one entity possesses a built-in power source contained within itself, rather than relying solely on external power.
-
E.
batteryCapacity
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
- F. None of above. chosen
Provenance (4 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 29, 2026, 9:11 p.m.