Triple
T13166843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Believe in You and Me |
E312872
|
entity |
| Predicate | houstonVersionPeakUSRnB |
P108851
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [I Believe in You and Me, houstonVersionPeakUSRnB, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houstonVersionPeakUSRnB Context triple: [I Believe in You and Me, houstonVersionPeakUSRnB, 2]
-
A.
approximateUserPeak
Indicates that one value or event is an estimated or inferred maximum point associated with a particular user.
-
B.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
C.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
D.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
E.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:13 p.m.