Triple
T4172036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instagram Reels |
E84584
|
entity |
| Predicate | supportsHashtags |
P39267
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Instagram Reels, supportsHashtags, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsHashtags Context triple: [Instagram Reels, supportsHashtags, true]
-
A.
hashtag
Indicates that an entity is associated with or labeled by a specific hashtag, typically used for categorization or topic tagging.
-
B.
hasTaggingSystem
chosen
Indicates that an entity is associated with or supports a system for assigning and managing tags or labels.
-
C.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
supportsCommunityContent
Indicates that an entity enables, hosts, or facilitates content created and shared by its user or community base.
-
E.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c9e12c81908d0b22671fea2453 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.