Triple
T586159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Airport Schiphol |
E15161
|
entity |
| Predicate | hasPier |
P15921
|
FINISHED |
| Object |
D Pier
D Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international and Schengen flights.
|
E74235
|
NE FINISHED |
How this triple was built (4 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: D Pier | Statement: [Amsterdam Airport Schiphol, hasPier, D Pier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D Pier Context triple: [Amsterdam Airport Schiphol, hasPier, D Pier]
-
A.
B Pier
B Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
-
B.
C Pier
C Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
-
C.
PJ
PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
-
D.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
E.
Paul D
Paul D is a formerly enslaved man in Toni Morrison’s novel *Beloved* whose traumatic past and complex relationship with Sethe explore the enduring psychological scars of slavery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: D Pier Triple: [Amsterdam Airport Schiphol, hasPier, D Pier]
Generated description
D Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international and Schengen flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D Pier Target entity description: D Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international and Schengen flights.
-
A.
B Pier
B Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
-
B.
C Pier
C Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
-
C.
PJ
PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
-
D.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
E.
Paul D
Paul D is a formerly enslaved man in Toni Morrison’s novel *Beloved* whose traumatic past and complex relationship with Sethe explore the enduring psychological scars of slavery.
- F. None of above. chosen
Provenance (5 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49d2a5f5481908bb9a71ff0f534d4 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5155210dc8190bad32b49703641e2 |
completed | March 2, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a51788f870819099271dcb41ee4bda |
completed | March 2, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a51846caa481909a61fa29a44b7470 |
completed | March 2, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:33 p.m.