Triple
T38438313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euler–Poincaré characteristic formula |
E904009
|
entity |
| Predicate | statement |
P4223
|
FINISHED |
| Object | For a finite chain complex C, Σ_i (-1)^i dim C_i = Σ_i (-1)^i dim H_i(C) |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: For a finite chain complex C, Σ_i (-1)^i dim C_i = Σ_i (-1)^i dim H_i(C) | Statement: [Euler–Poincaré characteristic formula, statement, For a finite chain complex C, Σ_i (-1)^i dim C_i = Σ_i (-1)^i dim H_i(C)]
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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fccdb581708190ab4543011fdb6544 |
completed | May 7, 2026, 5:36 p.m. |
Created at: May 3, 2026, 4:31 p.m.