Triple
T26381904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zierikzee |
E663149
|
entity |
| Predicate | hasNumberOfNationalMonuments |
P177293
|
FINISHED |
| Object | over 500 |
—
|
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: over 500 | Statement: [Zierikzee, hasNumberOfNationalMonuments, over 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfNationalMonuments Context triple: [Zierikzee, hasNumberOfNationalMonuments, over 500]
-
A.
nationalMonumentNumber
Indicates the officially assigned identification number that designates an entity as a recognized national monument.
-
B.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
C.
hasNationalParkSystem
Indicates that a country or region maintains an organized, officially designated system of national parks under its governance.
-
D.
hasNationalParkSite
Indicates that a location, region, or jurisdiction contains or is home to at least one designated national park site.
-
E.
hasNationalParkServicePresence
Indicates that the National Park Service operates, manages, or maintains an official presence at the referenced location or entity.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 26, 2026, 11:19 p.m.