Triple
T4831113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Laramie |
E107946
|
entity |
| Predicate | associatedWithTribe |
P13151
|
FINISHED |
| Object | Crow |
E57386
|
NE 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: Crow | Statement: [Fort Laramie, associatedWithTribe, Crow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crow Context triple: [Fort Laramie, associatedWithTribe, Crow]
-
A.
Crow
chosen
The Crow are a Native American tribe of the Great Plains, historically known as skilled horsemen and buffalo hunters centered in what is now Montana.
-
B.
Crow
"Crow" is a dark, experimental poetry collection by Ted Hughes that follows the mythic figure of Crow through violent, surreal explorations of creation, suffering, and the human condition.
-
C.
Crow
Crow is a common English surname shared by various notable individuals, including the American singer-songwriter Sheryl Crow.
-
D.
Crows
Crows is the common short name for the Adelaide Crows, a professional Australian rules football club based in Adelaide that competes in the Australian Football League (AFL).
-
E.
Condor
Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc7c0148190a3147d5ff304ffb2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd4224c8190be7568bb611f81a3 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.