Triple
T22312381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haringvliet Bridge |
E551549
|
entity |
| Predicate | isLocatedBetweenCities |
P36168
|
FINISHED |
| Object | Rotterdam region and Zeeland region (via A29 corridor) |
—
|
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: Rotterdam region and Zeeland region (via A29 corridor) | Statement: [Haringvliet Bridge, isLocatedBetweenCities, Rotterdam region and Zeeland region (via A29 corridor)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedBetweenCities Context triple: [Haringvliet Bridge, isLocatedBetweenCities, Rotterdam region and Zeeland region (via A29 corridor)]
-
A.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
B.
betweenCity
chosen
Indicates a spatial relationship where one entity is located in the area or position separating two specified cities.
-
C.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
D.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
E.
isInSameCityAs
Indicates that two entities are located within the boundaries of the same city.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574f97cc81909685aeef15d02af9 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.