Triple
T16965802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALENA |
E411536
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ALENA |
E411536
|
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: ALENA | Statement: [ALENA, shortName, ALENA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALENA Context triple: [ALENA, shortName, ALENA]
-
A.
ALENA
chosen
ALENA is the French acronym for the North American Free Trade Agreement (NAFTA), a trade pact that created a large free-trade zone between Canada, the United States, and Mexico.
-
B.
Alena
Alena is a feminine given name commonly used in Slavic countries, often considered a variant of Helena or Magdalena.
-
C.
Anela
Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
-
D.
Alen
Alen is a given name and surname used in various cultures, often considered a variant of the name Allen or Alan.
-
E.
Alina
Alina is a feminine given name used in various cultures, often considered a variant of names like Aline or Adelina.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a3cecc8190a490573adce80cca |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46cb56481908c2bc6648a12fbcf |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.