Triple
T9014392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N257 |
E215555
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Philipsdam |
E40807
|
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: Philipsdam | Statement: [N257, crosses, Philipsdam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philipsdam Context triple: [N257, crosses, Philipsdam]
-
A.
Philipsdam
chosen
Philipsdam is a major Dutch dam and storm surge barrier that forms part of the Delta Works, protecting the Rhine–Meuse–Scheldt delta from flooding.
-
B.
Ilpendam
Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
-
C.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
D.
Wateringen
Wateringen is a town in the western Netherlands that forms part of the municipality of Westland in the province of South Holland.
-
E.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fae0b88190a0aa989bc37ab2c7 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb671e488190920fb1780e4ad48d |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.