Triple
T7669381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands Architecture Institute |
E173708
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
NAi
NAi is the Netherlands Architecture Institute, a former Rotterdam-based national museum and archive dedicated to architecture and urban planning.
|
E679714
|
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: NAi | Statement: [Netherlands Architecture Institute, alsoKnownAs, NAi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAi Context triple: [Netherlands Architecture Institute, alsoKnownAs, NAi]
-
A.
Architekton
Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
-
B.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
C.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
D.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
E.
NeM Architectes
NeM Architectes is a French architecture firm recognized for its work on major cultural and heritage renovation projects, including collaborations on high-profile Parisian landmarks.
- 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: NAi Triple: [Netherlands Architecture Institute, alsoKnownAs, NAi]
Generated description
NAi is the Netherlands Architecture Institute, a former Rotterdam-based national museum and archive dedicated to architecture and urban planning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NAi Target entity description: NAi is the Netherlands Architecture Institute, a former Rotterdam-based national museum and archive dedicated to architecture and urban planning.
-
A.
Architekton
Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
-
B.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
C.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
D.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
E.
NeM Architectes
NeM Architectes is a French architecture firm recognized for its work on major cultural and heritage renovation projects, including collaborations on high-profile Parisian landmarks.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c3ff38819090d65ac4ae218750 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b29232c81908568eda38c2ac12a |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89d3eb9bc819099af036126e0ac4d |
completed | March 29, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d9255e08190b248f0c3fc858bc5 |
completed | March 29, 2026, 3:33 a.m. |
Created at: March 27, 2026, 4 p.m.