Triple
T37668324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Bottleneck |
E937880
|
entity |
| Predicate | featuresBabyDeliveryService |
P204332
|
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: [Baby Bottleneck, featuresBabyDeliveryService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresBabyDeliveryService Context triple: [Baby Bottleneck, featuresBabyDeliveryService, yes]
-
A.
birthPromisedBy
Indicates that one entity has pledged or foretold the future birth of another entity.
-
B.
BabylandFeatures
Indicates that something includes or is characterized by features associated with Babyland (e.g., attributes, amenities, or design elements specific to Babyland).
-
C.
locationOfDelivery
Indicates the place or address where an item, service, or shipment is to be delivered.
-
D.
childrenBornVia
Indicates a parental relationship where the children were brought into existence through a specified method, process, or reproductive arrangement.
-
E.
designedToBeDeliveredBy
Indicates that one entity is intentionally created or configured so that it will be transported, distributed, or handed over by another specified entity.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.