Triple
T15503072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cité du Train |
E379008
|
entity |
| Predicate | hasFamilyActivities |
P78029
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cité du Train, hasFamilyActivities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyActivities Context triple: [Cité du Train, hasFamilyActivities, yes]
-
A.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
notableFamilyActivity
Indicates that a family is particularly recognized for engaging in a specific activity or set of activities.
-
C.
hasChildrenActivities
chosen
Indicates that an entity is associated with one or more activities specifically intended for children.
-
D.
hasFamilyFriend
Indicates that one entity has another entity as a friend who is connected through family ties or close familial relationships.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:54 a.m.