Triple
T2547995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leventhal Center for Advanced Urbanism |
E57950
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LCAU |
E57950
|
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: LCAU | Statement: [Leventhal Center for Advanced Urbanism, abbreviation, LCAU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LCAU Context triple: [Leventhal Center for Advanced Urbanism, abbreviation, LCAU]
-
A.
LCAU
chosen
LCAU is the Leventhal Center for Advanced Urbanism at MIT, a research hub focused on innovative approaches to urban design, planning, and policy.
-
B.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
-
C.
Clau
Clau is a short form or nickname derived from the given name Claudiu.
-
D.
LCT
LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
-
E.
LAC
LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0e6e188190be190965cc02838e |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.