Triple
T13579737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara main campus |
E324379
|
entity |
| Predicate | hasSocialActivity |
P63156
|
FINISHED |
| Object | student clubs |
—
|
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: student clubs | Statement: [Ankara main campus, hasSocialActivity, student clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialActivity Context triple: [Ankara main campus, hasSocialActivity, student clubs]
-
A.
hasSocialEngagement
chosen
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
-
B.
hasPopularActivity
Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
-
C.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
D.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
E.
hasOnlineActivity
Indicates that an entity engages in or possesses some form of activity or presence on the internet or digital platforms.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.