Triple
T13987906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECP |
E336488
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ECP |
unclear NED1
|
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: ECP | Statement: [ECP, hasAbbreviation, ECP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECP Context triple: [ECP, hasAbbreviation, ECP]
-
A.
ECP
ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
-
B.
ECP
ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
-
C.
ECP
ECP is the stock ticker symbol for EuropaCorp, a French film studio and production company founded by filmmaker Luc Besson.
-
D.
ECP
ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
-
E.
ECPD
ECPD is the former name of ABET, the primary U.S. organization responsible for accrediting college and university programs in applied science, computing, engineering, and engineering technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9604cc819088cde0ad8271ad48 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.