Triple
T36070732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foot Fungus |
E1043357
|
entity |
| Predicate | moshPitSuitability |
P184547
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Foot Fungus, moshPitSuitability, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moshPitSuitability Context triple: [Foot Fungus, moshPitSuitability, high]
-
A.
hasDanceFloorEnergy
Indicates that an entity exhibits a lively, engaging, and energetic presence suitable for a dance floor atmosphere.
-
B.
isFestivalFriendly
Indicates that something is suitable, welcoming, or appropriate for attending or participating in a festival.
-
C.
typeOfNightclub
Indicates a classification relationship where one entity specifies the particular kind or category of nightclub that another entity is.
-
D.
hasQualifyingVenue
Indicates that an entity is associated with a venue that meets specified qualifying criteria or standards.
-
E.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.