Triple
T187852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El |
E4021
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | the El |
E4021
|
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: the El | Statement: [El, alsoKnownAs, the El]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the El Context triple: [El, alsoKnownAs, the El]
-
A.
El
chosen
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
B.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
E.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30287094c8190ad4669e856a29f6c |
completed | Feb. 28, 2026, 2:58 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.