Triple
T28557829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floating Market (Willemstad) |
E723053
|
entity |
| Predicate | hasVendorOrigin |
P170401
|
FINISHED |
| Object | Venezuela |
—
|
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: Venezuela | Statement: [Floating Market (Willemstad), hasVendorOrigin, Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVendorOrigin Context triple: [Floating Market (Willemstad), hasVendorOrigin, Venezuela]
-
A.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasPrimaryVisitorOrigin
Indicates that an entity’s main or most common source location of its visitors is a specified place.
-
C.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
D.
hasTypeOfVendor
Indicates that an entity is associated with or classified under a specific category or type of vendor.
-
E.
hasProposedOrigins
Indicates that there are suggested or hypothesized sources, beginnings, or origins for something, typically based on theory or evidence rather than certainty.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 3:47 a.m.