Triple
T4532591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin and Monaghan bombings |
E106331
|
entity |
| Predicate | timeOfThirdDublinExplosion |
P18902
|
FINISHED |
| Object | around 17:32 local time |
—
|
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: around 17:32 local time | Statement: [Dublin and Monaghan bombings, timeOfThirdDublinExplosion, around 17:32 local time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfThirdDublinExplosion Context triple: [Dublin and Monaghan bombings, timeOfThirdDublinExplosion, around 17:32 local time]
-
A.
dateOfAbbeyBombing
Indicates the specific calendar date on which the bombing of the abbey took place.
-
B.
timeOfDetonation
chosen
Indicates the specific point in time at which a detonation event occurs.
-
C.
thirdWarStartTime
Indicates the point in time at which the third war in a sequence of wars begins.
-
D.
dateOfTragedy
Indicates the specific calendar date on which a tragic event occurred.
-
E.
firstShotsFiredAt
Indicates the location or time at which the initial gunshots or opening fire in an incident occurred.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579f27ac8190ae9a4252109e56e1 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.