Triple
T19688112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau |
E472765
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Sigma |
—
|
NE NERFINISHED |
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: Sigma | Statement: [Tau, follows, Sigma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigma Context triple: [Tau, follows, Sigma]
-
A.
Sigma
chosen
Sigma is a Greek letter commonly used in mathematics, science, and engineering to denote summation, standard deviation, and various other concepts.
-
B.
Sigma
Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
-
C.
Sygma
Sygma is a musical artist associated with the track "Love Lies."
-
D.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
-
E.
Sig
Sig is a common shortened form of the given name Sigmund, often used as an informal or familiar nickname.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420d39688190ad3a84dbffce4ffe |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:45 p.m.