Triple
T2095553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Spanish Trail (trade route) |
E32772
|
entity |
| Predicate | beganUse |
P33743
|
FINISHED |
| Object | 1820s |
—
|
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: 1820s | Statement: [Old Spanish Trail (trade route), beganUse, 1820s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganUse Context triple: [Old Spanish Trail (trade route), beganUse, 1820s]
-
A.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
B.
startUseBy
chosen
Indicates the point in time from which an entity begins to be used by another entity or for a particular purpose.
-
C.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
D.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
E.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba99ddc48190bb2097b56efb7aca |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.