Triple
T4172031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instagram Reels |
E84584
|
entity |
| Predicate | supportsCountdown |
P54507
|
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, supportsCountdown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCountdown Context triple: [Instagram Reels, supportsCountdown, true]
-
A.
supportEndedIn
Indicates that a previously existing support relationship between entities has come to an end at a specific point in time.
-
B.
hasCountingPeriod
Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
-
C.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
-
D.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
E.
supportsActivity
Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
- 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_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. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.