Triple
T31011388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Morgan (masonry fort) |
E790216
|
entity |
| Predicate | laterEquippedWith |
P78180
|
FINISHED |
| Object | Endicott-era concrete batteries |
—
|
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: Endicott-era concrete batteries | Statement: [Fort Morgan (masonry fort), laterEquippedWith, Endicott-era concrete batteries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterEquippedWith Context triple: [Fort Morgan (masonry fort), laterEquippedWith, Endicott-era concrete batteries]
-
A.
equippedWhen
Indicates that one entity is equipped or put into use at the same time or under the specific conditions defined by another entity or situation.
-
B.
laterEquipment
chosen
Indicates that one piece of equipment occurs, is installed, or is used at a later time than another piece of equipment.
-
C.
isWornAfter
Indicates that one item of clothing or accessory is put on later in time than another item.
-
D.
oftenEquippedWith
Indicates that one type of entity is frequently or typically outfitted, furnished, or supplied with another entity.
-
E.
laterEquipmentType
Indicates that one equipment type occurs or is used at a later time relative to another equipment type.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: April 29, 2026, 8:57 p.m.