Triple
T38215108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinagua people |
E1010662
|
entity |
| Predicate | possibleCauseOfAbandonment |
P20519
|
FINISHED |
| Object | drought |
—
|
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: drought | Statement: [Sinagua people, possibleCauseOfAbandonment, drought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleCauseOfAbandonment Context triple: [Sinagua people, possibleCauseOfAbandonment, drought]
-
A.
abandonedReason
chosen
Indicates the reason or cause for which something was abandoned, discontinued, or given up.
-
B.
abandonmentType
Indicates the specific manner or category of how something or someone was abandoned in the described situation.
-
C.
abandonment
Indicates the act of one party leaving, forsaking, or giving up responsibility for another party or thing.
-
D.
abandonedDuring
Indicates that one entity ceased support for or deserted another entity in the midst of an ongoing process, event, or period.
-
E.
periodOfAbandonment
Indicates a time span during which something is left unused, unattended, or not maintained.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.