Triple
T21526205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lingle |
E531102
|
entity |
| Predicate | officeStartTime (Mayor of Maui County) |
P144711
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Linda Lingle, officeStartTime (Mayor of Maui County), 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Mayor of Maui County) Context triple: [Linda Lingle, officeStartTime (Mayor of Maui County), 1991]
-
A.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
B.
officeStartTime (Governor of Maine)
Indicates the time at which the Governor of Maine officially begins their term in office.
-
C.
officeStartTime (Governor of Arizona)
Indicates the time at which the Governor of Arizona officially begins their term in office.
-
D.
officeStartTime (Governor-General of Tuvalu)
Indicates the time at which the Governor-General of Tuvalu officially begins their term in office.
-
E.
officeStartTime (Lieutenant Governor of Kansas)
Indicates the time at which the Lieutenant Governor of Kansas officially begins their term in office.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88515874819085e251c0d297a587 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:26 p.m.