Triple
T28668074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkham Horror |
E725634
|
entity |
| Predicate | playingTimeMinutesMaximum |
P165539
|
FINISHED |
| Object | 240 |
—
|
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: 240 | Statement: [Arkham Horror, playingTimeMinutesMaximum, 240]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playingTimeMinutesMaximum Context triple: [Arkham Horror, playingTimeMinutesMaximum, 240]
-
A.
playingTimeMinutesMinimum
Indicates the minimum number of minutes an entity must be played or has been played.
-
B.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
C.
typicalPlayTimeMinutes
Indicates the usual or average number of minutes an activity, game, or media item is typically played or experienced.
-
D.
playTime
Indicates the duration or specific time period during which an entity engages in playing or recreational activity with another entity or object.
-
E.
typicalPlayTime
Indicates the usual or average amount of time an entity is expected to be played or used in a play session.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 5:02 a.m.