Triple
T11277764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gros Ventre |
E266978
|
entity |
| Predicate | timePeriodOfMajorDispossession |
P98889
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Gros Ventre, timePeriodOfMajorDispossession, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfMajorDispossession Context triple: [Gros Ventre, timePeriodOfMajorDispossession, late 19th century]
-
A.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
-
B.
historicalPeriodOfRemoval
Indicates the historical time period during which an entity was removed, discontinued, or taken out of use.
-
C.
timePeriodOfEarlierOccupation
Indicates that one entity specifies the time span during which another entity was previously occupied or held a position before a later occupation.
-
D.
timePeriodOfMajorExpansion
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
E.
timePeriodOfMajorShrinkage
Indicates the time period during which a significant reduction or contraction of something occurs.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e967ebb4819080b09ed3cec44e77 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.