Triple
T37235512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayer 04 Leverkusen women |
E923560
|
entity |
| Predicate | usesSameBrandAs |
P116817
|
FINISHED |
| Object | Bayer 04 Leverkusen |
—
|
NE NERFINISHED |
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: Bayer 04 Leverkusen | Statement: [Bayer 04 Leverkusen women, usesSameBrandAs, Bayer 04 Leverkusen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSameBrandAs Context triple: [Bayer 04 Leverkusen women, usesSameBrandAs, Bayer 04 Leverkusen]
-
A.
usesSameBrandFamilyAs
chosen
Indicates that two entities use products or services belonging to the same overarching brand family or brand portfolio.
-
B.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
C.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
D.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
E.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 3, 2026, 4:15 p.m.