Triple
T11709216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havasupai |
E278326
|
entity |
| Predicate | historicalPressure |
P100892
|
FINISHED |
| Object | land loss due to U.S. policies |
—
|
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: land loss due to U.S. policies | Statement: [Havasupai, historicalPressure, land loss due to U.S. policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPressure Context triple: [Havasupai, historicalPressure, land loss due to U.S. policies]
-
A.
historicalPeak
Indicates that the related value or state represents the highest level ever reached by something within a historical or recorded time frame.
-
B.
historicalDatum
Indicates that something is a specific piece of information or record about a past event, condition, or state.
-
C.
historicalValue
Indicates that something possesses significance, importance, or relevance due to its connection with past events, periods, or developments.
-
D.
historicalLevel
Indicates the degree or extent to which something is related to, situated in, or characterized by a particular historical period or context.
-
E.
historicalPass
Indicates that an entity has successfully completed or passed a historical event, period, or examination related to history.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49f072c81909c6a964a92e5bc0c |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.