Triple
T4710606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zandkreekdam |
E104499
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Goes |
E71950
|
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: Goes | Statement: [Zandkreekdam, locatedNear, Goes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goes Context triple: [Zandkreekdam, locatedNear, Goes]
-
A.
Goes
chosen
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
-
B.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
C.
Gonet
Gonet is a surname most notably associated with Scottish actress Stella Gonet.
-
D.
GOS
GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
-
E.
Gol
Gol is a municipality in Viken county, Norway, known for its mountainous landscapes, outdoor recreation, and the historic Gol Stave Church replica at the Gordarike family park.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ee712c81908da60aa0df58efe0 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1078784c81908e9a3fd0b168cadc |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:17 p.m.