Triple
T21011432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Irish presidential election |
E517557
|
entity |
| Predicate | continuedTrend |
P142477
|
FINISHED |
| Object | female Presidents of Ireland |
—
|
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: female Presidents of Ireland | Statement: [1997 Irish presidential election, continuedTrend, female Presidents of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuedTrend Context triple: [1997 Irish presidential election, continuedTrend, female Presidents of Ireland]
-
A.
continuesToward
Indicates that an entity maintains its movement or progression in the direction of a specified target or destination.
-
B.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
C.
continuedBy
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
-
D.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
-
E.
closureTrend
Indicates how the status or frequency of closures changes over time (e.g., increasing, decreasing, or stable).
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.