Triple
T16581690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Taffy |
E402846
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Mapo Hall |
E84849
|
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: Mapo Hall | Statement: [Robert Taffy, designed, Mapo Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mapo Hall Context triple: [Robert Taffy, designed, Mapo Hall]
-
A.
Mapo Hall
chosen
Mapo Hall is a historic colonial-era city hall and iconic civic center located on Mapo Hill in Ibadan, Nigeria.
-
B.
Pimentel Hall
Pimentel Hall is a major lecture and instructional facility associated with the College of Chemistry at the University of California, Berkeley.
-
C.
Voertman Hall
Voertman Hall is a performance and rehearsal venue at the University of North Texas College of Music, used for concerts, recitals, and other musical events.
-
D.
Greiner Hall
Greiner Hall is a modern residential building located on the University at Buffalo’s North Campus, primarily housing sophomore students.
-
E.
Batasan Hall
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35998371c8190936dcdaab5ca7e21 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da6d6f08190a8524b1c955b7c2e |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:16 a.m.