Triple
T139095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squaw Valley |
E2812
|
entity |
| Predicate | hasActivities |
P971
|
FINISHED |
| Object | downhill skiing |
—
|
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: downhill skiing | Statement: [Squaw Valley, hasActivities, downhill skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActivities Context triple: [Squaw Valley, hasActivities, downhill skiing]
-
A.
hasMissionActivity
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
-
B.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
-
C.
hasRecreationActivity
chosen
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
D.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
E.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a2565426c08190aab68e34a6a2d60e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.