Triple
T300347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colgate-Palmolive |
E6182
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Colgate-Palmolive (Thailand) |
E6182
|
NE 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: Colgate-Palmolive (Thailand) | Statement: [Colgate-Palmolive, hasSubsidiary, Colgate-Palmolive (Thailand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colgate-Palmolive (Thailand) Context triple: [Colgate-Palmolive, hasSubsidiary, Colgate-Palmolive (Thailand)]
-
A.
Colgate-Palmolive
chosen
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
-
C.
Thomson SA
Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
-
D.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
E.
Cantor Seinuk Group
Cantor Seinuk Group was a prominent structural engineering firm known for its work on major high-rise and complex building projects, particularly in New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3bc2353408190b7658595498895bb |
completed | March 1, 2026, 4:10 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.