Triple
T11949256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford City stadium fire |
E284385
|
entity |
| Predicate | timeOfOutbreak |
P67516
|
FINISHED |
| Object | 1985-05-11T15:40:00Z |
—
|
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: 1985-05-11T15:40:00Z | Statement: [Bradford City stadium fire, timeOfOutbreak, 1985-05-11T15:40:00Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfOutbreak Context triple: [Bradford City stadium fire, timeOfOutbreak, 1985-05-11T15:40:00Z]
-
A.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
B.
timePeriodOfMajorOutbreak
Indicates the time span during which a major outbreak occurred or was most active.
-
C.
outbreakEndYear
Indicates the calendar year in which a particular outbreak is considered to have ended.
-
D.
epidemicStartInArea
Indicates the point in time and place at which an epidemic begins within a specific geographic area.
-
E.
timeOfAppearance
chosen
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90346825c8190ab4482a1fc8eed56 |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.