Triple
T21538139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eendracht |
E531405
|
entity |
| Predicate | connectedViaLocksTo |
P144148
|
FINISHED |
| Object | Zoommeer |
—
|
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: Zoommeer | Statement: [Eendracht, connectedViaLocksTo, Zoommeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoommeer Context triple: [Eendracht, connectedViaLocksTo, Zoommeer]
-
A.
Zoommeer
chosen
Zoommeer is a Dutch lake in the province of Zeeland, created as part of the Delta Works water management project.
-
B.
Zombozo
Zombozo is a sinister clown-themed supervillain from the Ben 10 franchise who feeds on fear and often serves as one of Ben Tennyson’s most disturbing recurring foes.
-
C.
Wazoo
Wazoo is an alternative form or spelling of the name "Wazzu," often used informally or colloquially.
-
D.
Zoobilee Zoo
Zoobilee Zoo is a 1980s children's television series featuring costumed animal characters who encourage creativity, imagination, and learning through songs and stories.
-
E.
Zoot
Zoot is a fictional animal character name commonly used in entertainment and media, often evoking a quirky or playful creature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0fdf448190b47ac7c28904f86b |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.