Triple
T6668830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmentuin |
E151673
|
entity |
| Predicate | hasDutchName |
P744
|
FINISHED |
| Object | Palmentuin |
E610217
|
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: Palmentuin | Statement: [Palmentuin, hasDutchName, Palmentuin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palmentuin Context triple: [Palmentuin, hasDutchName, Palmentuin]
-
A.
Palmentuin
chosen
Palmentuin is a historic palm garden and public park in Paramaribo, Suriname, known for its tall royal palms and tranquil atmosphere.
-
B.
Palmilla
Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
-
C.
Galmaarden
Galmaarden is a small Dutch-speaking municipality in the Flemish Brabant province of Belgium, known for its rural character and location near the language border.
-
D.
Plantage
Plantage is a historic and culturally rich neighborhood in Amsterdam known for its green spaces, museums, and attractions like Artis Zoo and the Hortus Botanicus.
-
E.
Muristan
Muristan is a historic complex in Jerusalem’s Old City, known for its markets, churches, and hospices built on the site of medieval Crusader and earlier Christian institutions.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c7d9148190b3fbb870851d917b |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79cf0e48190a69294f3b13a8372 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:02 p.m.